Data Platform Architect (Databricks)

Copyright 2026 • Indianapolis, IN

7d • Hybrid

About The Position

We are seeking an experienced, hands-on Data Platform Architect & Integration Lead to design, build, and deliver integrations that consume Master Data products published in Databricks and feed them into an enterprise commercial CRM platform, as part of a large-scale CRM modernization program. Master Data sources (customer, account, and product master) are exposed as governed data products in Databricks – curated Delta tables registered in Unity Catalog. This role owns the consumption of those data products and their reliable, validated delivery into the target CRM and enterprise ecosystem, while re-platforming existing integrations onto modern, cloud-native patterns. This is a working, hands-on leadership role. The person leads the integration workstream and personally performs the coding, code review, and deployment work – not oversight alone. Every skill listed is expected to be backed by direct, hands-on delivery experience.

Requirements

• Hands-on experience with Databricks – Delta Lake, Unity Catalog, and consuming / publishing data products; lakehouse / medallion architecture.
• Hands-on experience applying AI in a data, integration, or software-development context.
• Hands-on experience building data and transformation services / pipelines on AWS.
• Hands-on REST API design, build, and implementation at scale.
• Strong, hands-on PySpark and Spark SQL for data movement and transformation.
• Hands-on experience integrating customer, account, and product master data into downstream systems, including schema mapping, reconciliation, and master-data change handling.
• Demonstrated ability to lead a build team while remaining hands-on – doing the build, review, and deployment work directly.

Nice To Haves

• Apache Iceberg interoperability
• Salesforce ecosystem certifications
• Snowflake ecosystem certifications

Responsibilities

• Personally perform coding, code review, and deployment activities, and any other assigned work related to this transformation – leading the team does not replace individual hands-on contribution.
• Own the end-to-end integration lifecycle: design specification, build, unit testing, deployment across dev / sandbox / UAT / prod, runbooks, and knowledge transfer.
• Produce design specifications, deployment steps, and rollback approaches, and deliver them hands-on.
• Consume Databricks data products (Delta Lake tables via Unity Catalog) as the source of master data, respecting the data-product contract – schema, refresh cadence, quality guarantees, and access model.
• Move master data from Databricks into the CRM using the appropriate pattern – Apache Iceberg interoperability, Spark / PySpark-based movement, or API-based delivery – selecting the right mechanism per integration by volume, latency, and directionality.
• Build transformation and mapping logic (PySpark / Spark SQL) to reconcile the data-product schema with the target CRM data model, including handling master-data change (deltas, data-change requests, reference data).
• Re-platform existing master-data integrations onto the Databricks-data-product and modern integration patterns, ensuring parity, reconciliation, and no data loss during transition.
• Implement observability, data-quality checks, error handling, data-gap detection, and reprocessing across the Databricks-to-CRM flows.
• Participate in and lead all relevant client meetings – design reviews, working sessions, governance forums, and status discussions – representing the integration workstream directly with the client.
• Communicate technical decisions, risks, and dependencies clearly to client stakeholders and delivery teams.
• Collaborate with the second System Integrator (SI) partner responsible for independently testing and validating this team’s build.
• Review the second SI’s test findings, triage them, and resolve the defects – ensuring fast, clean cross-vendor root-cause and closure rather than back-and-forth.
• Maintain clean build-to-test handoffs and shared traceability so defects are resolved efficiently across vendors.
• Define reusable integration patterns and interface contracts for master-data flows that other build and assurance teams can work to.
• Partner with data-product owners and data-engineering teams to align on data-product schemas, versioning, refresh frequency, access, and change management.
• Ensure data integrity, security, privacy, and, where applicable, regulated-industry compliance across connected systems.

Benefits

• Flexible working hours with an emphasis on a life-work balance
• Remote flexible work
• Company office locations in Palm Coast, FL; Atlanta, GA; Tysons, VA & Lexington, KY
• Unlimited Paid Time Off (RTO)
• 401K with Company Match
• Medical, Vision, & Dental coverage
• Competitive quarterly bonus opportunities
• Continuing education and certification reimbursements
• Frequent team and culture activities, virtual & in-person, including Lunch and Learns, Happy Hours, team-building events
• Monthly All-Hands calls
• Open-door leadership policy with access to mentorship and guidance
• Opportunities for accelerated growth, networking, and career guidance and support

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed