Job Description
Lead Databricks Architect
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Location: Indianapolis, IN — Hybrid, 3 days onsite/week
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Industry: Pharmaceutical
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Contract: Long Term Contract
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Interview/Selection: Deep technical background review — only highly qualified candidates
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Role Overview
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We are seeking a Lead Databricks Architect to lead the architecture, modernization, governance, and platform strategy for a large-scale Databricks environment running on AWS.
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This is a true enterprise architecture and platform leadership role, not a general Databricks Developer or Data Engineer position.
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The ideal candidate must have multiple enterprise-scale Databricks implementations/integrations and hands-on experience designing and migrating complex AWS data platforms into a Databricks Lakehouse architecture.
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The candidate will lead architecture across multiple Databricks workspaces, establish platform standards, define governance and security models, and provide hands-on technical leadership throughout migration and implementation.
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Key Responsibilities
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- Lead architecture and modernization of an enterprise Databricks platform on AWS.
- Design and implement multi-workspace Databricks architectures.
- Establish standards for Unity Catalog, security, governance, RBAC/ABAC, data sharing, and access controls.
- Lead migrations from AWS Glue, Aurora PostgreSQL/PostgreSQL, and existing AWS data lakes to Databricks Lakehouse.
- Design scalable raw-to-refine/medallion data architectures using Databricks and Unity Catalog.
- Build metadata-driven and configuration-based ingestion pipelines.
- Develop and maintain Databricks Lakeflow Declarative Pipelines (formerly DLT).
- Implement CDC, materialized views, schema evolution, and incremental data processing.
- Integrate Databricks with Veeva Vault/Veeva Direct Data API (DDAPI) and related connectors.
- Develop advanced Databricks SQL, Delta Lake, Spark/PySpark solutions.
- Build reusable architectural patterns, accelerators, templates, and engineering standards.
- Implement Terraform-based Infrastructure as Code for Databricks workspaces, Unity Catalog, service principals, IAM, and permissions.
- Build/manage AWS infrastructure using CloudFormation, including S3, Glue, Lambda, Step Functions, EventBridge, and DynamoDB.
- Establish enterprise CI/CD and automated deployment processes, including GitHub Actions.
- Drive platform governance, compliance, security, privacy, auditability, and data-quality standards.
- Troubleshoot complex pipeline, schema evolution, integration, and platform issues.
- Partner with data engineering, security, infrastructure, architecture, regulatory, and business teams.
- Provide technical leadership and mentorship to engineering teams.
- Document architecture decisions, standards, deployment patterns, and operational procedures.
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Must-Have Skills
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Candidates must have strong experience in the following:
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- Multiple enterprise-scale Databricks implementations/integrations
- Databricks Architecture on AWS
- Multi-workspace Databricks environments
- AWS Glue → Databricks migrations
- AWS Data Lake → Databricks Lakehouse modernization
- Aurora PostgreSQL/PostgreSQL → Databricks migration
- Unity Catalog
- Delta Lake
- Databricks Workflows
- Databricks SQL / SQL Warehouses
- Apache Spark / PySpark
- Lakeflow Declarative Pipelines / DLT
- AWS S3, IAM, networking, and security
- Terraform / Infrastructure as Code
- CI/CD for enterprise data platforms
- Platform governance, security, and architectural standards
- Enterprise migration strategy and reference architecture
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Ideal Candidate Profile
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The strongest candidate will be someone who has already architected and delivered multiple enterprise Databricks implementations on AWS, rather than someone who has primarily worked as a Databricks developer.
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Top priority: Proven enterprise Databricks architecture + multiple implementations + AWS migration experience.
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Important: Only submit candidates who can clearly demonstrate these experiences on their resume. The hiring manager will conduct a deep technical review of their background.
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Submission Details
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Please provide the following with each candidate submission:
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- Full Name
- Current Location
- Phone Number
- Email Address
- Availability / Notice Period
- Expected Rate
- Work Authorization
- LinkedIn Profile
- Total Years of Experience
- Years of Databricks Experience
- Years of AWS Experience
- Number of Enterprise Databricks Implementations Led
- Databricks Architecture / Platform Leadership Experience
- AWS Glue → Databricks Migration Experience
- Aurora PostgreSQL/PostgreSQL → Databricks Migration Experience
- AWS Data Lake → Databricks Lakehouse Migration Experience
- Unity Catalog / Multi-Workspace Experience
- Terraform / IaC / CI-CD Experience
- Pharma / Healthcare / Regulated Industry Experience
- Veeva Vault / Veeva DDAPI Experience, if applicable
- Indianapolis, IN Hybrid Availability — 3 Days Onsite/Week
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Note: Please submit only candidates who have multiple enterprise-level Databricks implementations/integrations and can demonstrate hands-on Databricks architecture and AWS migration experience.
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Thanks & Regards
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Najeeb Khan (Account Manager - US Staffing )
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Three, 400 E Royal, Ln #290, Irving, TX 75039.
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Email: najeeb@kaltechsoft.com