Telecommunting: Remote Travel Requirement: Less than 10% Clearance Level Must Be Able to Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: BI Full 6C (T4) Job Description Own the opportunity as a Senior Cloud Data Engineer and help ensure the mission is never interrupted. At GDIT, we deliver clarity with our cloud solutions and provide meaningful work. Your work will be an important part of transforming our clients for the modern age and help them face any obstacle. At GDIT, people are our differentiator. As a Senior Cloud Data Engineer, you will help ensure today is safe and tomorrow is smarter. Our work depends on a Senior Cloud Data Engineer joining our dynamic team to work in a fast-paced environment with engineering, migration, and operations. We’re looking for a self-starter, to work both as part of the team and on individual assignments, in an environment of customer mission delivery, integrity, and communications. We’re looking to fill this role with someone who currently has the cloud experience, certifications, and skills to execute in large environments, is flexible and enjoys tackling challenges, and desires to join a large team that is building and sustaining a large, multi-tenant cloud platform/enterprise and migrating/expanding/automating the enterprise. If this sounds like you and you'd love to learn and grow with a team while delivering program milestones, then we’d love to hear from you! HOW A SENIOR CLOUD DATA ENGINEER WILL MAKE AN IMPACT: - Designs, architects, deploys and maintains cloud data solutions - Works hands-on with Snowflake implementing logical and physical data models - Maintains the integrity and security of systems - Maintains all documentation - Supports and develops automation - Has exposure to Bash, PowerShell, Python - Maintains/enhances knowledge of related AWS cloud services - Work across teams, and external customer groups to develop strategy, design solutions, and advise implementation teams during infrastructure buildouts - Deal with escalations. Make assessments, recommendations or provide solutions to resolve issues - Compose and maintain standard operating procedures and work instructions, knowledge articles, etc. WHAT YOU’LL NEED TO SUCCEED: Required Education: Technical Training, Certification(s) or Degree Required Experience: - Experience with Cloud Computing - AWS - 5+ years experience required Required Technical Skills: - Hands-on experience with Snowflake - Ability to implement logical and physical data models in Snowflake - Experience developing in cloud-based data platforms - Proficiency with ETL/ELT frameworks - Linux / Windows Server Required Skills and Abilities: Excellent communication skills with demonstrated experience delivering presentations to diverse audiences at various levels of an organization Preferred Skills and Experience: - 7+ years experience strongly preferred, with 3+ years of experience at the Senior level - Demonstrable experience leveraging AI/ML as a force multiplier and/or have implemented AI/ML solutions will be strongly preferred - Strong proficiency with SQL and data transformation techniques - Familiarity with Agile / Scrum delivery environments Preferred Certification: Snowflake SnowPro Core Security Clearance Level: None Location: Remote ​GDIT IS YOUR PLACE: - 401K with company match - Comprehensive health and wellness packages - Internal mobility team dedicated to helping you own your career - Professional growth opportunities including paid education and certifications - Cutting-edge technology you can learn from - Rest and recharge with paid vacation and holidays Salary Information The likely salary range for this position is $128,039 - $173,229. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Benefits Information Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. About Our Work We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. Join our Talent Community to stay up to date on our career opportunities and events at https://gdit.com/tc Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Role Overview Sodexo is seeking an experienced Director, Data Architecture to lead the design, implementation, and optimization ofour Microsoft Azure and Oracle-based data ecosystem. This role will drive enterprise data strategy, ensuring scalability, security, and performance across Azure Analytics, Databricks, Dremio, Oracle EDW, Oracle Analytics, Oracle GoldenGate, and other relevant platforms. Remote role with the preferred candidate residing in the Eastern or Central time zones What You'll Do - Architect and implement cloud and hybrid data platforms leveraging Azure and Oracle technologies - Design enterprise data pipelines using Azure Data Factory, Azure Service Bus, Event Hubs, and common ETL tools - Oversee data governance, compliance, and security following best practices for GRC frameworks - Optimize data warehousing and analytics using Azure Data Lake, Databricks, Dremio, Oracle EDW, and Oracle Analytics Cloud (OAC) - Lead data migration and integration projects using Oracle GoldenGate, Azure Logic Apps, and Kafka for real-time data streaming - Implement best practices for data modeling, lineage tracking, and metadata management with Microsoft and other tools - Collaborate cross-functionally to ensure data strategy alignment with business objectives - Build and mentor a team of data engineers and architects, driving innovation and operational excellence What We Offer Compensation is fair and equitable, partially determined by a candidate's education level or years of relevant experience. Salary offers are based on a candidate's specific criteria, like experience, skills, education, and training. Sodexo offers a comprehensive benefits package that may include: - Medical, Dental, Vision Care and Wellness Programs - 401(k) Plan with Matching Contributions - Paid Time Off and Company Holidays - Career Growth Opportunities and Tuition Reimbursement More extensive information is provided to new employees upon hire. What You Bring - 7+ years of experience in data architecture, engineering, or analytics leadership roles. - Expertise in Microsoft Azure (Synapse, Databricks, Event Hubs, Service Bus, Purview, Data Factory) and Oracle (EDW, Analytics Cloud, GoldenGate, ODI) technologies. - Strong understanding of data governance, compliance, and security frameworks. - Experience with SQL, Python, Spark, and related languages for data engineering and analytics. - Leadership experience in scaling data teams and implementing large-scale enterprise solutions. - Certifications in Azure Solutions Architect, Oracle Analytics, Databricks, or related technologies a plus - Experience with AI/ML-driven analytics platforms within Microsoft and Oracle ecosystems a plus - Knowledge of serverless and microservices architectures within Azure and Oracle Cloud a plus Who We Are At Sodexo, our purpose is to create a better everyday for everyone and build a better life for all. We believe in improving the quality of life for those we serve and contributing to the economic, social, and environmental progress in the communities where we operate. Sodexo partners with clients to provide a truly memorable experience for both customers and employees alike. We do this by providing food service, catering, facilities management, and other integrated solutions worldwide. Our company values you for you; you will be treated fairly and with respect, and you can be yourself. You will have your ideas count and your opinions heard because we can be a stronger team when you’re happy at work. This is why we embrace diversity and inclusion as core values, fostering an environment where all employees are valued and respected. We are committed to providing equal employment opportunities to individuals regardless of race, color, religion, national origin, age, sex, gender identity, pregnancy, disability, sexual orientation, military status, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. If you need assistance with the application process, please complete this form. Qualifications & Requirements Minimum Education Requirement - Bachelor’s Degree or equivalent experience Minimum Management Requirement - 7 yearsMinimum Functional Requirement - 7 years of distribution and procurement experience including current systems and process flows related to order catalogs, implementation and opportunity analysis

Job Title: Senior Software Engineer - Data Lake Engineering Position Type: Full-time Location: Remote in Dallas, Boston, New York or Chicago Salary Range: $145000 - $160000 (USD) About the Job: The Data Lake Engineering team is seeking a highly motivated and passionate Senior Software Engineer to join us in building our next-generation data platform. This is a fantastic opportunity to build your career by contributing to a critical platform that powers modern data management, AI, and business intelligence. As a member of our team, you'll be part of a collaborative environment focused on solving large-scale, complex problems. We're looking for someone eager to learn, grow, and apply foundational engineering skills to make a real business impact. Responsibilities: - Develop and maintain our data lake platform and related services. - Write and test high-quality, reliable code for data pipelines and platform components. - Collaborate with senior engineers to understand design and architecture principles. - Participate in code reviews to learn from and contribute to the team's engineering standards. - Help troubleshoot and resolve issues in development and production environments. - Contribute to the documentation of our platform, systems, and tools. - Demonstrate a strong passion for continuous learning and improving technical skills. Qualifications: - Proven experience in business development, strategic partnerships, or enterprise sales in tech/AI. - 5+ years of experience in software design and development, with a focus on building large-scale, distributed systems. - Strong hands-on experience in software development, architecture, deployment, and production operations, preferably with Java / J2EE (Spring/Spring Boot). - Proficiency in languages like Python is highly desirable. - Experience with AI-native development workflows, leveraging advanced coding assistants to accelerate complex problem-solving and optimize code quality. - Experience with cloud architecture and services, including AWS (S3, EMR, Kubernetes, Lambda) and/or Azure. - Experience in CI/CD automation and frameworks. - A strong desire to learn about data engineering, large-scale data systems, and AI technologies. - Bachelor's degree in Computer Science, Data Science, or a related field. - Good problem-solving skills and a proactive attitude. - Excellent communication and teamwork skills About Us: Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU. IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at https://intelliprogroup.com/. Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility.

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. ***Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.*** As a Senior Data Architect at Empower, you will be both a strategic leader and hands on technical expert shaping our enterprise data analytics platform and data product architecture. Partnering with enterprise architects, business leaders, and IT teams, you will define solution architectures, establish scalable platform patterns, and guide teams toward secure, high performing, cost efficient data capabilities. You will influence key architectural decisions, mentor teams, and help advance technology excellence through practical standards, reusable templates, and strong engineering outcomes. What you will do: - Own end to end solution architecture for connecting source systems to the enterprise analytics platform and delivering governed, performant, reusable data products for analytics and machine learning use cases - Define reference architectures and implementation patterns for Snowflake based solutions, including storage integration and stages, networking connectivity, key management, secure sharing, replication and disaster recovery approaches, and workload and warehouse strategy - Establish security on the platform including role-based access models, masking approaches, row level controls, and auditable access and usage practices, partnering with the data governance team for classification and policy inputs - Define ingestion and integration blueprints for batch, change data capture, and event driven pipelines, including guidance for when to use streaming patterns for low latency data movement - Set standards for contract first data products including semantics, versioning rules, reliability expectations, and clear consumption patterns for BI, analytics, and ML use cases, partnering with governance teams on catalog and stewardship processes - Build performance and reliability playbooks including workload isolation, concurrency patterns, sizing strategies, cost guardrails, and operational runbooks teams can execute - Establish and promote architectural standards, best practices, and review mechanisms while mentoring and coaching technology team members to ensure consistent adoption - Collaborate with business and engineering teams to design end to end solutions that meet strategic, technical, and operational objectives and can be delivered incrementally - Evaluate enabling tools and approaches for pipelines, quality, observability, and automation, and build business cases that influence direction - Guide engineering teams through solution design and implementation, improving long term scalability, performance, data quality, and cost efficiency What you will bring: - Strong, hands-on Snowflake experience, with the ability to define practical platform patterns and guide teams through implementation and operations - Working knowledge of Snowflake capabilities such as warehouses and workload management, cost controls, secure sharing, Tasks and Streams, and platform security controls - Deep experience delivering enterprise analytics and data platform solutions, typically gained through about 5 to 12 years in a data specialty such as engineering, platforms, or analytics, with 2+ years leading end to end solution design for complex initiatives - Strong understanding of modern data platform architecture including ingestion, transformation, modeling, consumption patterns, and operational readiness for analytics and ML workloads - Strong SQL capability including performance tuning fundamentals, plus proficiency in Python or a comparable language used for data engineering and automation - Practical experience addressing cross-cutting concerns including security, privacy, resiliency, scalability, observability, and cost optimization in cloud data platforms - Proven ability to drive alignment through influence by facilitating architecture reviews, documenting decisions and tradeoffs, and mentoring engineers and architects - Ownership mindset and strong work ethic with the ability to take ambiguous problems, create structure, and deliver outcomes with minimal oversight - Bachelor’s degree in Computer Science, Information Systems, Engineering, or related discipline, or equivalent practical experience What will set you apart: - Snowflake performance specialist experience with concurrency patterns, warehouse sizing strategy, micro partition optimization, and repeatable playbooks for meeting BI and analytics latency expectations - Snowflake security specialist experience designing role models and applying masking and row level controls at scale, plus auditability using platform usage and access telemetry - Data ingestion and pipeline specialist experience with CDC and batch ELT approaches, orchestration tooling, and strong patterns for data quality and observability aligned to SLAs or SLOs - Streaming and event driven data specialist experience building and operating Kafka or Kinesis based architectures including ordering, replay, schema evolution, and real time observability - API and integration specialist experience designing API first data access patterns, API lifecycle governance, versioning, security, and developer enablement, plus event driven integration patterns to reduce point to point complexity - Cloud infrastructure and automation specialist experience with infrastructure as code, Git based CI/CD, and provisioning automation for Snowflake and surrounding platform components - Cost and performance specialist experience applying FinOps practices, workload right sizing, storage optimization, and performance engineering across Snowflake and adjacent cloud services - Applied AI and GenAI specialist experience designing safe enterprise patterns for retrieval, evaluation, monitoring, and responsible AI adoption - Certifications such as SnowPro or AWS Certified Solutions Architect, Associate or Professional This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required perform other duties that are not included on this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason. What we offer you We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance. - Medical, dental, vision and life insurance - Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup - Tuition reimbursement up to $5,250/year - Business-casual environment that includes the option to wear jeans - Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year - Paid volunteer time — 16 hours per calendar year - Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA) - Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all. Base Salary Range $125,400.00 - $181,875.00 The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Equal opportunity employer • Drug-free workplace We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law. ***For remote and hybrid positions you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption. You must have reliable connectivity from an internet service provider that is fiber, cable or DSL internet. Other necessary computer equipment, will be provided. You may be required to work in the office if you do not have an adequate home work environment and the required internet connection.*** Job Posting End Date at 12:01 am on: 03-18-2026 Want the latest money news and views shaping how we live, work and play? Sign up for Empower’s free newsletter and check out The Currency.