Enterprise Data Platform Engineer – Washington, DC

Enterprise Data Platform Engineer – Washington, DC

About us 

Creative Information Technology Inc (CITI) is an esteemed IT enterprise renowned for its exceptional customer service and innovation. We serve both government and commercial sectors, offering a range of solutions such as Healthcare IT, Human Services, Identity Credentialing, Cloud Computing, and Big Data Analytics. With clients in the US and abroad, we hold key contract vehicles including GSA IT Schedule 70, NIH CIO-SP3, GSA Alliant, and DHS-Eagle II.

Join us in driving growth and seizing new business opportunities.

Background

Databricks Administrator is the hands-on technical owner of the agency’s Databricks platform supporting EDP. This role is accountable for platform operations, security, and governance configuration end-to-end—ensuring the environment is compliant, reliable, cost-controlled, and enables secure analytics and AI/ML workloads at scale.

Role and Responsibilities 

• Administer Databricks account and workspaces across SDLC environments; standardize configuration, naming, and operational patterns
• Configure and maintain clusters/compute, job compute, SQL warehouses, runtime versions, libraries, repos, and workspace settings.
• Implement platform monitoring/alerting, operational dashboards, and health checks; maintain runbooks and operational procedures.
• Provide Tier 2/3 operational support: troubleshoot incidents, perform root-cause analysis, and drive remediation and preventive actions.
• Manage change control for upgrades, feature rollouts, configuration changes, and integration changes; document impacts and rollback plans.
• Enforce least privilege across platform resources (workspaces, jobs, clusters, SQL warehouses, repos, secrets) using role/group-based access patterns.
• Configure and manage secrets and secure credential handling (secret scopes / key management integrations) for platform and data connectivity.
• Enable and maintain audit logging and access/event visibility; support security reviews and evidence requests.
• Administer Unity Catalog governance: metastores, catalogs/schemas/tables, ownership, grants, and environment/domain patterns.
• Configure and manage external locations, storage credentials, and governed access to cloud object storage.
• Partner with governance stakeholders to support metadata/lineage integration, classification/tagging, and retention controls where applicable.
• Coordinate secure connectivity and guardrails with cloud/network teams: private connectivity patterns, egress controls, firewall/proxy needs.
• Configure cloud integrations required for governed data access and service connectivity (roles/permissions, endpoints, storage integrations).
• Implement cost guardrails: cluster policies, auto-termination, scheduling, workload sizing standards, and capacity planning.
• Produce usage/cost insights and optimization recommendations; address waste drivers (idle compute, oversized clusters, inefficient jobs).
• Automate administration and configuration using APIs/CLI/IaC (e.g., Terraform) to reduce manual drift and improve repeatability.
• Maintain platform documentation: configuration baselines, security/governance standards, onboarding guides, and troubleshooting references.
• Design and implement backup and disaster recovery procedures for workspace configurations, notebooks, Unity Catalog metadata, and job definitions; maintain recovery runbooks and perform periodic DR testing aligned to RTO/RPO objectives.
• Monitor and optimize platform performance, including SQL warehouse query tuning, cluster autoscaling configuration, Photon enablement, and Delta Lake optimization guidance (OPTIMIZE, VACUUM, Z-ordering strategies). Administer Delta Live Tables (DLT) pipelines and coordinate with data engineering teams on pipeline health, data quality monitoring, failed job remediation, and pipeline configuration best practices.
• Manage third-party integrations and ecosystem connectivity, including BI tool integrations (e.g., Power BI), and external metadata catalog integrations.
• Implement Databricks Asset Bundles (DABs) for standardized deployment patterns; automate workspace resource deployment (jobs, pipelines, dashboards) across SDLC environments using bundle-based CI/CD workflows.
• Conduct capacity planning and scalability analysis, including for