Data Architect

eNGINE builds Technical Teams. We are a Solutions and Placement firm shaped by decades of interaction with Technical professionals. Our inspiration is continuous learning and engagement with the markets we serve, the talent we represent, and the teams we build. Our Consulting Workforce is encouraged to enjoy career fulfillment in the form of challenging projects, schedule flexibility, and paid training/certifications. Successful outcomes start and finish with eNGINE.eNGINE has an immediate opening for a Senior Databricks Architect.The primary focus of this role is identifying a senior-level architect with deep, hands-on experience delivering Databricks implementations. This individual will be highly technical, comfortable operating at a detailed execution level, and capable of designing and building robust data platforms in complex environments. Experience working within regulated or compliance-driven settings is preferred but not required. The ideal candidate combines strong technical depth with clear communication, decisiveness, and confidence, and frequently comes from an implementation-focused or consulting-style background.Role ResponsibilitiesTechnical and Architecture Responsibilities:Lead the architecture and hands-on implementation of Databricks-based data platformsDesign lakehouse architectures, data models, and ingestion patterns aligned with enterprise-scale requirementsBuild, configure, and optimize Databricks environments across cloud platforms (AWS, Azure, or GCP)Develop migration strategies from legacy data platforms to DatabricksCreate production-ready pipelines using Spark, Delta Lake, and related ecosystem toolsEstablish security, governance, and performance best practicesTroubleshoot complex data platform issues and guide resolution effortsDelivery and Practice Responsibilities:Define technical scope and delivery approaches for data platform initiativesBuild proofs of concept and reference implementations to validate architecture decisionsCreate reusable frameworks, templates, and accelerators to improve consistency and delivery speedContribute to internal standards, patterns, and architectural guidanceSupport project delivery through technical leadership and oversightGuide and mentor engineering teams through complex implementationsCore Technical Skills:Extensive hands-on experience designing and implementing Databricks solutionsStrong knowledge of Spark, Delta Lake, lakehouse architecture, and modern data platformsExperience working in complex, large-scale, or regulated environmentsAbility to operate across multiple cloud platforms as requiredProfessional Skills:Ability to clearly communicate complex technical concepts to varied audiencesStrong architectural judgment and decision-making in ambiguous environmentsComfort balancing strategic architecture with hands-on deliveryExperience leading engineering teams and guiding technical executionSuccess Measures:Successful delivery of scalable, reliable Databricks implementationsAdoption of reusable patterns and standards across the organizationImproved delivery velocity and technical consistencyKnowledge sharing and contribution to internal centers of excellenceTechnical growth and enablement of engineering team members