Lead Databricks Architect

Lead Databricks Architect

Location: Indianapolis, IN — Hybrid, 3 days onsite/week

Industry: Pharmaceutical

Contract: Long Term Contract

Interview/Selection: Deep technical background review — only highly qualified candidates

Role Overview

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.

This is a true enterprise architecture and platform leadership role, not a general Databricks Developer or Data Engineer position.

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.

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.

Key Responsibilities

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• Lead architecture and modernization of an enterprise Databricks platform on AWS.
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• Design and implement multi-workspace Databricks architectures.
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• Establish standards for Unity Catalog, security, governance, RBAC/ABAC, data sharing, and access controls.
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• Lead migrations from AWS Glue, Aurora PostgreSQL/PostgreSQL, and existing AWS data lakes to Databricks Lakehouse.
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• Design scalable raw-to-refine/medallion data architectures using Databricks and Unity Catalog.
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• Build metadata-driven and configuration-based ingestion pipelines.
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• Develop and maintain Databricks Lakeflow Declarative Pipelines (formerly DLT).
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• Implement CDC, materialized views, schema evolution, and incremental data processing.
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• Integrate Databricks with Veeva Vault/Veeva Direct Data API (DDAPI) and related connectors.
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• Develop advanced Databricks SQL, Delta Lake, Spark/PySpark solutions.
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• Build reusable architectural patterns, accelerators, templates, and engineering standards.
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• Implement Terraform-based Infrastructure as Code for Databricks workspaces, Unity Catalog, service principals, IAM, and permissions.
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• Build/manage AWS infrastructure using CloudFormation, including S3, Glue, Lambda, Step Functions, EventBridge, and DynamoDB.
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• Establish enterprise CI/CD and automated deployment processes, including GitHub Actions.
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• Drive platform governance, compliance, security, privacy, auditability, and data-quality standards.
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• Troubleshoot complex pipeline, schema evolution, integration, and platform issues.
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• Partner with data engineering, security, infrastructure, architecture, regulatory, and business teams.
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• Provide technical leadership and mentorship to engineering teams.
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• Document architecture decisions, standards, deployment patterns, and operational procedures.
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Must-Have Skills

Candidates must have strong experience in the following:

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• Multiple enterprise-scale Databricks implementations/integrations
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• Databricks Architecture on AWS
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• Multi-workspace Databricks environments
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• AWS Glue → Databricks migrations
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• AWS Data Lake → Databricks Lakehouse modernization
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• Aurora PostgreSQL/PostgreSQL → Databricks migration
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• Unity Catalog
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• Delta Lake
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• Databricks Workflows
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• Databricks SQL / SQL Warehouses
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• Apache Spark / PySpark
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• Lakeflow Declarative Pipelines / DLT
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• AWS S3, IAM, networking, and security
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• Terraform / Infrastructure as Code
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• CI/CD for enterprise data platforms
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• Platform governance, security, and architectural standards
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• Enterprise migration strategy and reference architecture
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Ideal Candidate Profile

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.

Top priority: Proven enterprise Databricks architecture + multiple implementations + AWS migration experience.

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.

Submission Details

Please provide the following with each candidate submission:

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• Full Name
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• Current Location
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• Phone Number
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• Email Address
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• Availability / Notice Period
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• Expected Rate
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• Work Authorization
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• LinkedIn Profile
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• Total Years of Experience
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• Years of Databricks Experience
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• Years of AWS Experience
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• Number of Enterprise Databricks Implementations Led
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• Databricks Architecture / Platform Leadership Experience
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• AWS Glue → Databricks Migration Experience
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• Aurora PostgreSQL/PostgreSQL → Databricks Migration Experience
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• AWS Data Lake → Databricks Lakehouse Migration Experience
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• Unity Catalog / Multi-Workspace Experience
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• Terraform / IaC / CI-CD Experience
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• Pharma / Healthcare / Regulated Industry Experience
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• Veeva Vault / Veeva DDAPI Experience, if applicable
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• 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.

Thanks & Regards

Najeeb Khan (Account Manager - US Staffing )

Three, 400 E Royal, Ln #290, Irving, TX 75039.

Email: najeeb@kaltechsoft.com