Databricks Technical Architect

Perficient · Colombia

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  • Lead the logical and physical design of 7 Silver dimension tables and 15 Gold certified data assets (8 fact, 7 dimension) with EM's D&A modeling team


    Define Medallion layer standards for naming, partitioning, incremental loads, and data quality checks
    Build and review complex pipeline and transformation code for the Bronze-to-Silver and Silver-to-Gold flows
    Tune query and pipeline performance so Gold assets meet Power BI SLA expectations
    Implement security and governance controls for sensitive HR data, including access policies and masking
    Work with EM's DevOps team on CI/CD, environment promotion, and Databricks workspace management
    Guide the design of Spark Declarative Pipelines for new and migrated workloads
    Review the work of the Databricks Engineer and Systems Analysts, and run code and design reviews
    Present architecture decisions and trade-offs to EM technical leadership
    Document designs and run knowledge transfer so EM can operate the platform after the engagement
    Technical Skills:

     


     

 
Perficient is the global AI and technology consulting firm disrupting the traditional consulting model. Powered by our 7,000+ advisors, engineers, and designers, Perficient implements AI-first solutions that break conventions and deliver outcomes that matter. Proudly serving clients that represent the world’s most innovative brands, and in collaboration with our powerful technology partner ecosystem, we bring deep industry expertise and data-driven design to redefine how businesses run and succeed. Perficient is different. For real. Learn more at perficient.com. We are seeking a highly experienced Databricks Data & AI Architect to lead the design, implementation, and optimization of modern Lakehouse, Analytics, and AI solutions across cloud platforms. The ideal candidate combines deep expertise in Databricks and cloud-native data architectures with strong consulting, stakeholder management, and technical leadership capabilities. This role will partner closely with business leaders, product owners, data engineers, data scientists, and executive stakeholders to deliver scalable data platforms, advanced analytics solutions, and AI-driven business outcomes.

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