Data Platform Engineer

Position Description: Senior Cloud Systems Engineer

Start Date – End Date: 02/02/2026 – 12/31/2026

Note: Period of performance may extend beyond 12/31/2026.

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, group-

based RBAC, service principals, least-privilege patterns.

• Security fundamentals: secrets management, secure connectivity, audit logging, access

monitoring, and evidence-ready operations.

• Cloud platform expertise (AWS ): IAM roles/policies, object storage security patterns,

networking basics (VPC concepts), logging/monitoring integration.

• 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).

• 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.

• Experience administering Databricks serverless compute, Workspace Git integrations

(GitLab), Databricks Asset Bundles (DABs) for deployment automation, and modern

workspace features supporting DevOps workflows.

• SLA/SLO 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).

Education / Experience/Certifications/Accreditations

• Bachelor’s degree in a related field or equivalent practical experience.
• 7+ years in cloud/data platform administration and operations, including 4+ years

supporting Databricks or similar platforms.

• Databricks Platform Administrator/Databricks AWS Platform Architect
• Databricks Certified Data Engineer Associate/Professional
• AWS Certified Solutions Architect Associate or Professional

The Contractor shall deliver, but not limited to, the following:

• 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 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