About the Role
We are seeking a Senior Data Platform Engineer to design, build, and scale secure, resilient data platforms that power mission-critical government technology solutions. This role blends hands-on engineering with architectural leadership across cloud data platforms, enabling analytics, AI/ML, and product insights that improve public-sector outcomes.
You will partner with engineering, product, security, and analytics stakeholders to deliver a modern, compliant, and highly reliable data platform.
What You’ll Do
Design & Architecture
- Lead platform and architecture decisions across cloud data technologies (e.g., BigQuery, Databricks, lakehouse/warehouse patterns)
- Define ingestion strategies (batch, streaming, CDC) and layered data modeling approaches
- Design secure, compliant architectures addressing PII, HIPAA, SOC 2, and government standards
- Produce high-level technical designs, platform recommendations, and cost estimates
Platform Foundation & Enablement
- Build and deploy core data platform infrastructure using Infrastructure as Code (Terraform)
- Establish Dev/Test/Prod environments, CI/CD pipelines, and operational guardrails
- Implement networking, IAM, secrets management, and identity integrations
- Configure governance, cataloging, lineage, observability, and data quality tooling
- Enable analytics and AI/ML foundations (feature stores, model tracking, ML workspaces)
Data Onboarding & Activation
- Implement scalable ingestion pipelines for application databases, SaaS systems, product events, and operational data
- Build curated data models (raw/bronze → silver → gold) and semantic layers for BI and analytics
- Support product analytics, reporting, and ML use cases through reliable data contracts
- Partner with stakeholders to deliver dashboards, metrics, and operational insights
What You’ll Bring
- 6+ years of experience in data engineering or data platform roles
- Strong experience with cloud platforms (AWS, Azure, or GCP)
- Proficiency in SQL and at least one programming language (Python, Java, or Scala)
- Hands-on experience with modern data stacks (BigQuery, Snowflake, Databricks, dbt, Airflow, Spark, Kafka)
- Experience with data governance, security, and compliance in regulated environments
- Ability to lead architecture discussions and deliver pragmatic, scalable solutions
About You
- You are a senior-level data platform engineer who enjoys owning problems from architecture through production
- You think in platforms and systems, not just individual pipelines or tools
- You are comfortable working in regulated, mission-driven environments and understand security and compliance constraints
- You balance technical rigor with pragmatism and know how to make sound trade-offs
- You can move easily between high-level design discussions and hands-on implementation
- You communicate clearly with engineers, product partners, and non-technical stakeholders
- You value clean architecture, documentation, and long-term maintainability