Data Platform Architect (Databricks)

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., * Hands-On Integration Delivery

• 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.
• Must have hands-on experience across all required skills; the person is expected to build, not only direct others who build.
• 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.
• Databricks Data-Product Consumption & Integration
• 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.
• Client Engagement & Meetings
• 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.
• Multi-Vendor (Dual-SI) Collaboration
• 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.
• On-Site Presence & Travel
• Must be present in person in Indianapolis.
• If not working from Indianapolis, must travel for all important meetings as required by the program.
• Patterns, Standards & Data Partnership
• 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., * Remote flexible work; “Live by the beach, work in the Cloud,” plus company office locations in Palm Coast, FL; Atlanta, GA; Tysons, VA & Lexington, KY; travel as required to client locations
• Unlimited Paid Time Off (RTO), 401K with Company Match, and Medical, Vision, & Dental coverage
• Competitive quarterly bonus opportunities
• Continuing education and certification reimbursements, specifically within the Salesforce and Snowflake ecosystems; plus occasional in-house competitions with spot bonuses
• A flexible and fun team culture! We value transparency, support, flexibility, growth, teamwork, fun, and so much more
• Frequent team and culture activities, virtual & in-person, including Lunch and Learns, Happy Hours, team-building events
• Monthly All-Hands calls to bring the company together, and an open-door leadership policy with access to mentorship and guidance
• Opportunities for accelerated growth, networking, and career guidance and support
• Trust, transparency and respect across all levels of the company

• Databricks - hands-on with Delta Lake, Unity Catalog, and consuming / publishing data products; lakehouse / medallion architecture.
• AI - hands-on experience applying AI in a data, integration, or software-development context.
• Data services on AWS - hands-on experience building data and transformation services / pipelines on AWS.
• API - hands-on REST API design, build, and implementation at scale.
• PySpark - strong, hands-on PySpark and Spark SQL for data movement and transformation.
• Master Data / MDM - 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.