Databricks Architect

Key Responsibilities: ● Establish, lead, or mature a Databricks Center of Excellence (CoE) — defining standards, reusable patterns, governance frameworks, and best practices across the organization ● Own end-to-end delivery accountability across multiple Databricks workstreams and project teams ● Define and enforce architectural standards, design patterns, and platform governance for Databricks usage enterprise-wide ● Partner with project/program leadership to ensure delivery milestones, quality gates, and risk management practices are consistently applied ● Develop and maintain reusable accelerators, templates, and reference architectures to improve delivery speed and consistency across teams ● Drive platform governance: workspace structure, Unity Catalog standards, cost optimization, security, and access control policies ● Act as the senior escalation point for architectural and delivery decisions across the Databricks program ● Mentor and upskill distributed/offshore teams on Databricks best practices, coding standards, and delivery methodology ● Lead architecture review boards and design governance sessions to ensure solutions align with CoE standards ● Track and report on CoE maturity, adoption metrics, and delivery KPIs to executive stakeholders ● Stay current on Databricks platform roadmap and proactively recommend adoption of new capabilities across the organization ● Support pre-sales, estimation, and solutioning efforts by providing delivery-tested architectural guidance

Required Qualifications: ● 8+ years of overall data engineering/architecture experience; 5+ years specifically on Databricks ● Demonstrated, hands-on experience establishing or scaling a Databricks (or comparable data platform) Center of Excellence ● Extensive experience delivering multiple Databricks engagements — ideally across different clients, industries, or business units ● Strong understanding of Delta Lake, Unity Catalog, medallion architecture, and Databricks governance capabilities ● Proven track record defining and rolling out architectural standards, design patterns, and delivery frameworks across teams ● Experience with at least one major hyperscaler — AWS, Azure, or GCP — sufficient to guide governance and architecture decisions ● Strong program/delivery management acumen — able to balance technical depth with delivery accountability, timelines, and risk ● Demonstrated experience managing or mentoring distributed/offshore delivery teams at scale ● Excellent executive communication skills — able to present CoE strategy, maturity, and value to senior client and internal leadership ● Demonstrated awareness of and curiosity about the evolving AI landscape, including how enterprise AI capabilities intersect with data platform governance and CoE strategy

Pay: $50.00 - $70.00 per hour

Work Location: Remote