Data Platform Engineer
Syms Strategic Group, LLC (SSG) · Arlington, VA · 2 wk ago
On-siteEngineering$85k–$117k/yrFull-time
About the role
Syms Strategic Group (SSG) is seeking a talented Data Platform Engineer for a full‑time remote position supporting the Veterans Affairs (VA) healthcare data platform modernization. The role requires U.S. citizenship and a Public Trust (MBI) security clearance. Military veterans are highly encouraged to apply.
Responsibilities
- Lead the next phase of the healthcare data platform modernization.
- Implement the evolution from a Microsoft SQL eXtensible Markup Language (MSSQL XML) object store toward a scalable, cloud‑native AWS data architecture enabling business stakeholders and analysts to run performant, SQL‑based reports and queries against healthcare data.
- Evaluate and decide the right AWS data strategy for the platform; recommend optimal AWS‑native data storage and query architecture (e.g., S3 + Athena, Aurora, DynamoDB, Redshift, OpenSearch) based on query patterns, reporting needs, cost, and scalability.
- Design and build the reporting and query layer that allows business stakeholders and non‑technical users to run relational SQL queries against healthcare data using familiar tooling.
- Architect the migration path for XML object store data from MSSQL into the target AWS platform, defining storage formats, partitioning strategies, and data organization for optimal query performance.
- Build and maintain AWS data catalog, schemas, and metadata management so that object store data is discoverable and queryable by business users.
- Optimize query performance and cost across chosen AWS services – partitioning, compression, file formats, and query pattern tuning.
- Work directly with business stakeholders and analysts to understand reporting requirements and translate them into durable, performant data models and query patterns.
- Collaborate with back‑end C#/.Net engineer to ensure data flows cleanly from Electronic Data Interchange (EDI) processing pipelines into the new data layer.
- Implement and maintain CI/CD pipelines for data infrastructure using AWS‑native tooling (CodePipeline, CodeBuild, CodeDeploy).
- Apply Infrastructure as Code (IaC) practices using AWS CDK, CloudFormation, or Terraform.
- Document architecture decisions, data flows, and data dictionaries clearly for both technical and non‑technical audiences.
Required Skills and Experience
- 8+ years’ experience in software or data engineering with a strong AWS focus.
- Proven experience architecting and executing cloud data platform migrations in production enterprise or healthcare environments.
- Track record of evaluating and selecting AWS data services to meet business reporting and query requirements.
- Experience delivering reporting or analytics solutions that serve non‑technical business users.
- Deep hands‑on AWS experience across data‑oriented services – S3, Athena, Glue, Aurora, DynamoDB, Redshift, OpenSearch, Lambda, IAM, and CloudWatch.
- Strong SQL skills with the ability to design relational query layers over semi‑structured or non‑relational data (XML, JSON).
- Experience working with XML‑heavy data stores – parsing, querying, and transforming XML at scale.
- Ability to evaluate trade‑offs across AWS data services and make architecture recommendations based on cost, performance, and business requirements.
- Familiarity with AWS analytics and reporting services, including Athena, QuickSight, RedShift, or equivalent BI tooling.
- Proficiency with Git and GitHub – branching strategies, pull requests, and collaborative workflows.
- Familiarity with CI/CD practices and AWS‑native tooling (CodePipeline, CodeBuild, CodeDeploy).
- IaC experience (AWS CDK, CloudFormation, or Terraform).
- Strong ability to communicate technical architecture decisions and trade‑offs to non‑technical stakeholders.
- Experience gathering and translating business reporting requirements into technical data models.
- Comfort driving ambiguous architecture decisions to resolutions with limited direction.
- Experience with Agile methodologies (Scrum, Kanban) and JIRA.
- Strong documentation habits – architecture diagrams, data dictionaries, migration runbooks.
Qualifications
- Bachelor’s degree