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.

• Define, implement, and maintain enterprise-wide data architecture standards, governance frameworks, and best practices. • Design and oversee scalable data pipelines, storage solutions, and data platforms to support business and technology stakeholders across SANS. • Lead the development and optimization of data infrastructure, ensuring performance, reliability, security, and cost efficiency. • Establish and drive the long-term data strategy aligned with SANS’ organizational goals and growth plans. • Partner cross-functionally with business, technology, analytics, and leadership teams to understand data needs and translate them into scalable solutions. • Ensure high data quality, integrity, accessibility, and compliance across systems. • Evaluate and recommend tools, platforms, and emerging technologies to enhance SANS’ data capabilities. • Provide technical leadership, mentorship, and guidance to data engineers and other technical team members. • Oversee data modeling standards and ensure structures support reporting, analytics, and operational use cases. • Support and enable enterprise-wide data-driven decision-making. • Identify and deploy AI-driven solutions to optimize automation, analytics, and business processes. • Perform other related duties as assigned.

• Design resilient and well-modeled data layers with clear interfaces and versioning • Improve data quality at scale, build modular and reusable packages and instrument pipelines for rich telemetry • Identify scalability problems and constraints in our products, and proactively work to improve them • Drive and introduce initiatives across our data team to improve developer experience and develop new data capabilities • Create and maintain the most reliable, secure, performant and high throughput service for our customers by using cutting-edge cloud technology