Solutions Architect

• Design Databricks lakehouse architectures across Azure, AWS, and/or GCP, with Azure experience strongly preferred.
• Lead solution design for batch, streaming, data integration, analytics, AI, and operational use cases.
• Define platform patterns for workspaces, networking, identity, security, environment separation, deployment, observability, and cost management.
• Design governed data products and Medallion architectures using Delta Lake and Unity Catalog.
• Guide engineering teams through implementation, conduct design and code reviews, and resolve complex technical issues.
• Build or oversee production pipelines using SQL, Python, Spark, Lakeflow, Workflows, and cloud-native services.
• Develop estimates, delivery approaches, architecture diagrams, technical roadmaps, and implementation plans.
• Facilitate client workshops and explain architecture decisions, tradeoffs, risks, and recommendations to technical and executive stakeholders.
• Support pre-sales discovery, solution shaping, demonstrations, and proposal development.
• Contribute reusable patterns, accelerators, and standards to Frame’s Databricks practice., * Architectures are pragmatic, secure, cost-aware, and implementable by the delivery team.
• Clients understand the recommended approach and trust the technical decisions behind it.
• Engineering teams have clear patterns, guardrails, and hands-on leadership that improve delivery quality.
• Solutions move from design into production and create measurable operational or business value.

3-5 years, * 3-5 years of progressive experience in data engineering, cloud data platforms, or solution architecture, including at least 2 years of hands-on Databricks experience.

• Databricks Certified Data Engineer Associate or Databricks Certified Data Engineer Professional certification required at the time of hire.
• At least 1 year of hands-on experience with Databricks’ newer platform capabilities, including Lakeflow Declarative Pipelines, Lakeflow Connect, Unity Catalog, serverless compute and SQL warehouses, Mosaic AI (Model Serving, Vector Search, and Agent Framework), AI/BI Genie, Databricks Apps, and/or Lakebase.
• Strong hands-on proficiency with Python, SQL, Apache Spark, Delta Lake, and production data pipeline development.
• Demonstrated experience designing secure cloud architectures, including identity, networking, access controls, secrets, data governance, and environment strategy.
• Experience with CI/CD, infrastructure as code, automated testing, monitoring, and production support for Databricks solutions.
• Ability to create clear architecture diagrams and communicate technical decisions to both engineering teams and business stakeholders.
• Prior consulting or client-facing delivery experience, with the judgment to balance speed, quality, cost, and maintainability., * Databricks Certified Data Engineer Professional, Machine Learning Professional, or Databricks Certified Generative AI Engineer Associate certification.
• Microsoft Azure architecture or data engineering certification.
• Experience with ERP, EAM, CMMS, IoT, historian, OT, or other industrial data sources.
• Experience in energy, industrial, manufacturing, utilities, or similarly operationally critical environments.
• Working knowledge of MLflow, feature engineering, retrieval-augmented generation, agentic AI, or AI application architecture.
• Experience estimating and leading small delivery teams through architecture, build, deployment, and transition to support.

At Frame, you will work directly with experienced leaders and clients on meaningful Data & AI initiatives. You will have room to shape solutions, influence our Databricks practice, mentor engineers, and help build a consulting firm grounded in quality, trust, and real-world impact.