Join #Ensiteam!

We are a company focused on custom software development and have been in the market for over 19 years. At Ensitech we are dedicated to finding highly specialized talent to work with large companies in the United States, Europe, and Canada.

Each one of our collaborators works with different teams and colleagues around the world, in the design and commercialization of software. We look forward to having you as part of our team in the role of Solutions Architect – Data & AI Platform, supporting an enterprise-wide data platform modernization initiative built on Databricks, Azure, and AI-enabled technologies that will serve as the foundation for analytics, reporting, machine learning, and generative AI across the organization.

Key Responsibilities

Define and own the architectural strategy for a modern Databricks Lakehouse platform, influencing decisions around Databricks, Azure, Unity Catalog, and AI-powered analytics.
Design scalable Lakehouse architectures, including Medallion patterns, Delta Lake, Liquid Clustering, and Photon, to support analytics, reporting, AI, and operational data products.
Provide architectural guidance and technical leadership to the Data Engineering team, including design reviews, tradeoff evaluation, and engineering best practices.
Partner directly with business and technology leaders to translate requirements into scalable technical solutions supporting enterprise reporting, analytics, and AI initiatives.
Design and maintain semantic data products (Genie Spaces, Genie Ontologies) that power AI-driven, self-service analytics.
Establish governance standards leveraging Unity Catalog, including data lineage, fine-grained security, and metadata management.
Lead the adoption of emerging Databricks capabilities (Genie, AI/BI, Lakeflow) across the organization.
Mentor engineering teams and help define engineering standards that scale across the company.

Required Skills & Experience

10+ years of experience in Data Engineering, Data Architecture, or Data Platform Engineering, with meaningful time spent in architecture or technical leadership capacities.
8+ years of experience leading technical initiatives and mentoring engineering teams.
Expert knowledge of the Databricks Lakehouse Platform, including Apache Spark (PySpark), Delta Lake, Unity Catalog, Workflows, Jobs, SQL Warehouses, and MLflow.
Strong Microsoft Azure experience, including ADLS Gen2, Microsoft Entra ID (Azure AD), RBAC, networking, and cloud security.
Experience designing Medallion Architecture, dimensional modeling, and domain-oriented data products.
Deep understanding of Spark optimization techniques, including Adaptive Query Execution, partitioning, caching, Photon, and Liquid Clustering.
Experience implementing CI/CD pipelines, Git-based development workflows, Infrastructure as Code, and automated testing.
Strong communication skills, with proven ability to influence both technical and business stakeholders.
Demonstrated experience mentoring and providing technical leadership to engineering teams.
Strong knowledge in Python and SQL

Nice to Have

Experience implementing Databricks Genie, Genie Spaces, and Genie Ontologies.
Experience with BI tools such as Power BI, Tableau, or Business Objects.
Experience with machine learning platforms, MLOps, or Generative AI applications.
Databricks Certified Data Engineer Professional and/or Microsoft Azure certifications.

What do we offer?

✅ Competitive salary and benefits.
✅ International and innovation-driven environment.
✅ Opportunity to shape a company's enterprise data and AI platform strategy from the ground up.