To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Sales Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Principal Solution Engineer - Data & Integration Specialist - Federal Civilian Location: Washington D.C. / MD / VA / Remote Description Salesforce is hiring a Data & Integration Specialist (DIS) to join our Global Public Sector Solution Engineering team. The AI revolution is a Data evolution and this critical role is at the forefront of making AI a reality for our customers. As a DIS, you are more than a technical expert; you are a strategic architectural partner who consolidates expertise across MuleSoft (Integration), Tableau (Analytics), and Data 360 (Unified Data Management) to solve the most complex data challenges in government. You will serve as the single point of contact for sales teams, ensuring every data opportunity is handled by a specialist who thinks like an architect and communicates outcomes and impacts in the voice of the business user. You will be a vital contributor to the success of our agency customers by conducting holistic discovery, reframing the "data journey," and designing compliant, AI-ready architectures that deliver actionable insights from disparate silos. In this role, you will work with Federal Civilian agencies and bridge the gap between legacy system connectivity and modern mission outcomes, acting as a trusted advisor who can navigate everything from API management to real-time data unification and advanced analytics. What you get working for the Data & Integration SE Team: - A Unified Mission: Work in a specialized team that eliminates fragmented resource requests by owning the entire data lifecycle. - Outcome-First Leadership: Opportunities to lead high-impact discovery sessions that start with agency mission outcomes (e.g., citizen services, public safety) rather than product features. - Strategic Growth: Support from leaders committed to your mastery of enterprise data architecture and designing data strategies that leverage MuleSoft, Tableau, Data 360, and Informatica - Innovation at Scale: Work for the #1 AI CRM company, building the trusted data foundations required for the next generation of Agentforce and autonomous AI agents. Qualifications you’ll need to be successful: - Architectural Mindset: Ability to design holistic, composable architectures that scale securely in highly regulated public sector environments. - Multi-Platform Technical Depth: Hands-on experience or deep conceptual knowledge of Integration (MuleSoft), Data Analytics (Tableau), and Big Data/CDP (Data 360). A qualified candidate will have expertise in no less than 2 of these capabilities, a great candidate will have expertise in all three. - Strategic Communication: Excellent ability to reframe technical challenges into business value for C-level government executives and technical stakeholders alike. - AI Readiness: Understanding of the value of "Trusted Context Foundations" for AI, including data grounding, RAG (Retrieval-Augmented Generation), and metadata intelligence. - Collaboration & Influence: Proven ability to partner early with Account Executives to drive sales strategy and lead "Data Discovery" from day one. - Experience: Minimum of 7 years of professional experience in Solution Engineering, Enterprise Architecture, or Digital Transformation. - Technical Foundations: Experience with database design, Java, APIs, and cloud infrastructure (AWS, Azure, GCP) is preferred. Preferred Qualifications: - Certifications: One of more - MuleSoft Certified Architect, Tableau Desktop/Server Specialist, or Salesforce Data Cloud Consultant. - Industry Knowledge: Deep understanding of Public Sector compliance (FedRAMP) and common government data silos. - Ecosystem Expertise: Familiarity with Informatica for advanced data governance and MDM. What you’ll achieve: 3 months: - Master the Stack: Complete intensive Salesforce Trailhead courses and certification paths for MuleSoft Anypoint Platform, Data 360, and Tableau. - Shadow & Learn: Join active Public Sector engagements to observe how DIS leads discovery and architects multi-product solutions. - Build Your Point of View: Align with the GTM Plan and begin building your "Data Journey" whiteboarding skills. 12 months: - Own the Technical Win: Serve as the lead architect on complex, multi-cloud data opportunities, delivering higher win rates and faster deal cycles. - Evangelize the Vision: Execute high-impact architectural workshops and "Stand & Deliver" sessions that showcase the power of unified data. - Enable the Ecosystem: Mentor account teams and partners on how to position "Data + Integration" as the foundation for AI. Drive Mission Outcomes: Successfully deploy architectures that unify citizen data, modernize legacy systems, and provide real-time dashboards for mission operations. Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $164,000 - $210,910 annually There is a different range applicable to specific work locations. In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $196,800 - $231,980 per year. Your recruiter can share more about the specific salary range for the job location during the hiring process. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

Req ID: 366941 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data Engineer - AWS to join our team in Remote, Karnātaka (IN-KA), India (IN). "Job Duties: Role Overview We are looking for a skilled Data Engineer to design, build, and maintain scalable, reliable data pipelines and platforms that support analytics, reporting, and operational decision-making. The role’s primary focus is enabling an end-to-end data ingestion and processing pipeline—extracting data preferably from Salesforce, landing it in Amazon S3, and transforming/loading it into Amazon Redshift for analytics-ready consumption. The engineer will also work on SQL modernization (including Oracle SQL development and conversion/optimization for Redshift), data quality, governance, monitoring, and performance tuning. ________________________________________ Primary Focus (Must-Have Outcome) Build and operate robust ETL/ELT pipelines for: • Salesforce → Amazon S3 → Amazon Redshift • Automated extraction, secure landing, transformation, load, and publishing for reporting/analytics • Strong data quality, reconciliation, monitoring, and scheduling built into the pipeline ________________________________________ Key Responsibilities Salesforce to AWS Data Pipelines (Core) • Build and maintain pipelines that extract data from Salesforce (API-based or connector-based), land data in Amazon S3, and load into Amazon Redshift • Implement incremental loads / CDC patterns where applicable; manage full loads and historical backfills as needed • Establish scheduling and orchestration for daily/near-real-time jobs with reliability and retry mechanisms SQL Engineering (Oracle + Redshift) • Design, develop, and optimize complex SQL in Oracle • Analyze and convert Oracle SQL to Redshift-compatible SQL, optimizing for Redshift performance and cost • Tune Redshift queries using best practices such as sort keys, distribution styles, and query patterns ETL/ELT, Data Modeling, and Warehousing • Design and maintain ETL/ELT jobs, transformations, and reusable frameworks • Build and optimize data models for warehousing/lakehouse patterns (facts/dimensions, curated layers) • Support both batch and (where applicable) near-real-time processing patterns Data Quality, Governance, and Compliance • Implement data quality checks (completeness, accuracy, consistency), reconciliation, and validation rules • Ensure data integrity, metadata documentation, lineage, and governance practices • Apply security and compliance standards (GDPR/regulatory needs where applicable) Operations, Monitoring, and Reliability • Monitor pipelines and infrastructure using AWS monitoring tools; troubleshoot performance and reliability issues • Improve pipeline resilience through alerting, logging, retries, and error handling • Contribute to modernization and cloud migration initiatives and automation (DataOps/CI-CD where relevant) Cross-Functional Collaboration • Partner with analytics/reporting and business stakeholders to gather requirements and deliver reliable datasets • Work effectively with cross-functional teams and provide clear documentation of pipelines and datasets ________________________________________ Technology Stack (Expected Exposure) Primary (Must-Have) • AWS: Amazon S3, Redshift, IAM, CloudWatch • Salesforce Integration: Salesforce APIs / connectors (extraction & ingestion patterns) • Programming & Querying: Python, SQL • Oracle: Complex SQL, stored procedures (as needed), performance tuning • Orchestration/Scheduling: AWS Glue, Lambda, Step Functions, cron-based scheduling (or equivalent) Data Engineering & Platform (Good-to-Have / Nice-to-Have) • ETL tools: Informatica, Talend, Azure Data Factory • Warehousing: Snowflake, Azure Synapse (plus Redshift as primary) • Big data: Spark, Hadoop • Streaming & APIs: Kafka, Event Hub, REST APIs • DevOps/DataOps: CI/CD for data pipelines, infrastructure-as-code exposure Minimum Skills Required: Required Skills & Experience • Strong hands-on experience building ETL/ELT pipelines in cloud environments • Proven experience integrating Salesforce data into a data platform (extraction, S3 landing, transformat" About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us. NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Funding Societies | Modalku is the largest SME digital finance platform in Southeast Asia. We are licensed and operating  in Singapore, Indonesia, Thailand, Malaysia and Vietnam, and backed by Sequoia India (Peak XV), Softbank Vision Fund, Khazanah and SMBC bank amongst many others. Funding Societies | Modalku provides business financing to small and medium-sized enterprises (SMEs), which is funded by individual and institutional investors, as well as payments solutions to SMEs and consumers. Here at Funding Societies | Modalku we live by our core values GETFS: - Grow Relentlessly: Strive to become our best, most authentic selves. - Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed. - Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation. - Focus on Impact: Create impact through bias for action and tangible results. - Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession. We are seeking a passionate **Senior Data Engineer** for the regional Data Team. This role requires you to design, develop and implement a cloud-based Data Warehouse, architect data ingestion from diverse sources into a central platform, write performant SQL, build and optimize ETL/ELT pipelines with dbt, tune and debug the DWH, and partner closely with Data Analytics, Data Science, and business stakeholders across our Financing and Payments products. As a senior member of the team, you will be expected to lead technical initiatives end-to-end and mentor other engineers. What you will do: - Design, develop and maintain scalable, production-grade data pipelines and build new API integrations to support growing data volume and complexity across our lending and payments products. - Build and maintain modular, tested, and well-documented data transformation models using **dbt** on top of Snowflake. - Lead high-impact data platform initiatives end-to-end-- from scoping and technical design through delivery, monitoring, and iteration. - Collaborate with analytics, data science, and business teams to evolve data models that power BI tools, regulatory reporting, and data-driven decision making across the organization. - Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources using SQL, Snowflake, dbt, and AWS big data technologies. - Partner with Executive, Product, Risk, Finance, and Engineering stakeholders to resolve data-related technical issues and support their data infrastructure needs. - Champion data quality, governance, lineage, and cost efficiency across the data platform. - Mentor junior and mid-level data engineers through code reviews, design reviews, and knowledge sharing.

Funding Societies | Modalku is the largest SME digital finance platform in Southeast Asia. We are licensed and operating  in Singapore, Indonesia, Thailand, Malaysia and Vietnam, and backed by Sequoia India (Peak XV), Softbank Vision Fund, Khazanah and SMBC bank amongst many others. Funding Societies | Modalku provides business financing to small and medium-sized enterprises (SMEs), which is funded by individual and institutional investors, as well as payments solutions to SMEs and consumers. Here at Funding Societies | Modalku we live by our core values GETFS: - Grow Relentlessly: Strive to become our best, most authentic selves. - Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed. - Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation. - Focus on Impact: Create impact through bias for action and tangible results. - Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession. We are seeking a passionate **Senior Data Engineer** for the regional Data Team. This role requires you to design, develop and implement a cloud-based Data Warehouse, architect data ingestion from diverse sources into a central platform, write performant SQL, build and optimize ETL/ELT pipelines with dbt, tune and debug the DWH, and partner closely with Data Analytics, Data Science, and business stakeholders across our Financing and Payments products. As a senior member of the team, you will be expected to lead technical initiatives end-to-end and mentor other engineers. What you will do: - Design, develop and maintain scalable, production-grade data pipelines and build new API integrations to support growing data volume and complexity across our lending and payments products. - Build and maintain modular, tested, and well-documented data transformation models using **dbt** on top of Snowflake. - Lead high-impact data platform initiatives end-to-end-- from scoping and technical design through delivery, monitoring, and iteration. - Collaborate with analytics, data science, and business teams to evolve data models that power BI tools, regulatory reporting, and data-driven decision making across the organization. - Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources using SQL, Snowflake, dbt, and AWS big data technologies. - Partner with Executive, Product, Risk, Finance, and Engineering stakeholders to resolve data-related technical issues and support their data infrastructure needs. - Champion data quality, governance, lineage, and cost efficiency across the data platform. - Mentor junior and mid-level data engineers through code reviews, design reviews, and knowledge sharing.