Senior EDP Engineer

Databricks Administrator is the hands-on technical owner of the Board’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, * 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.
• 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.
• 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.
• Coordinate secure connectivity and guardrails with cloud/network teams: private connectivity patterns, egress controls, firewall/proxy needs.
• 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.
• 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 forecasting concurrent user/workload growth, platform scaling strategies, and proactive resource allocation during peak usage periods.
• Facilitate user onboarding and enablement, including new user/team onboarding procedures, training coordination, workspace access provisioning, and creation of self-service documentation/guides.

The candidate shall possess the knowledge and skills set forth in the Technical Services BOA, Section 3.5.6.2 for labor category Senior Cloud Systems Engineer. The candidate shall also demonstrate the below knowledge and experience:

• Hands-on experience administering Databricks (workspace administration, clusters/compute policies, jobs, SQL warehouses, repos, runtime management) and expertise using Databricks CLI.
• Strong Unity Catalog administration: metastores; catalogs/schemas; grants; service principals; external locations; storage credentials; governed storage access.
• Identity & Access Management proficiency: SSO concepts, SCIM provisioning, groupbased RBAC, service principals, least-privilege patterns.
• Security fundamentals: secrets management, secure connectivity, audit logging, access monitoring, and evidence-ready operations.
• Automation skills: scripting and/or IaC using Terraform/CLI/REST APIs for repeatable configuration and environment promotion.
• Experience implementing data governance controls (classification/tagging, lineage/metadata integrations) in partnership with governance teams.
• CI/CD practices for jobs/notebooks/config promotion across SDLC environments.
• Understanding of lakehouse concepts (e.g., Delta, table lifecycle management, separation of storage/compute).
• Strong troubleshooting and problem-solving; communicate clearly during incidents and changes.
• Experience administering Databricks serverless compute, Workspace Git integrations (GitLab), Databricks Asset Bundles (DABs) for deployment automation, and modern workspace features supporting DevOps workflows.
• Bachelor’s degree in a related field or equivalent practical experience.
• 7+ years in cloud/data platform administration and operations, including 3+ years administering Databricks

Highly valued(Desirable, but not required) knowledge, skills and experience

• Cloud platform expertise (AWS ): IAM roles/policies, object storage security patterns, networking basics (VPC concepts), logging/monitoring integration.
• SQL proficiency and data engineering fundamentals for troubleshooting query performance issues, understanding ETL/ELT workflow patterns, and debugging data pipeline failures; basic Python/Scala familiarity for notebook/code issue diagnosis.
• Experience with compliance and regulatory frameworks (FedRAMP, HIPAA, SOC2, or similar) including implementation of data residency requirements, retention policies, and audit-ready evidence collection.
• Hands-on experience with AWS security and networking services including PrivateLink, Secrets Manager/Systems Manager integration, CloudWatch/CloudTrail integration, S3 bucket policies, cross-account access patterns, and KMS encryption key management.
• Demonstrated experience in Databricks and Cloud FinOps and budget management
• SLA/SLO management, incident management, and stakeholder communication skills; ability to define platform service levels, produce operational reports, translate technical issues to business stakeholders, and manage vendor relationships (Databricks account teams).
• 5+ years of demonstrated experience administering Databricks
• Databricks Platform Administrator/Databricks AWS Platform Architect
• Databricks Certified Data Engineer Associate/Professional
• AWS Certified Solutions Architect Associate or Professional