Design, build, and scale secure data platforms while leading architecture across cloud technologies for public sector outcomes.
About Gravity
Gravity is the platform public agencies use to manage budgeting, automate financial reporting, and meet compliance with confidence. From Annual Comprehensive Financial Reports (ACFR) to Budget Books to GASB disclosures, we give teams the tools to move faster, work smarter, and build public trust.
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
Top Skills
Airflow
AWS
Azure
BigQuery
Databricks
Dbt
GCP
Java
Kafka
Python
Scala
Snowflake
Spark
SQL
Terraform
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