Databricks Solution Architect

This is a fully remote position, open to applicants in Colorado.

📋 Description

• Develop scalable Databricks solution architectures utilizing Lakehouse, Delta Lake, and Unity Catalog methodologies customized for client environments and business objectives.

• Facilitate technical discovery workshops to explore customer goals, data challenges, and existing architecture.

• Create functional prototypes, proofs-of-concept, and reference architectures for the Databricks Lakehouse Platform.

• Provide guidance to customers on best practices for data pipeline development, data modeling, and platform governance.

• Offer advice on integrating Databricks with AWS, Azure, GCP, and related data tools.

• Showcase Databricks capabilities across various use cases in Data Engineering, Data Science, ML, and Generative AI.

• Identify and address technical risks to ensure that delivery teams are well-prepared for success.

• Convert intricate technical ideas into clear business value for both technical stakeholders and executives.

• Collaborate with account teams throughout the sales cycle to formulate technical strategies.

• Work alongside Data Scientists and ML Engineers on AI-driven demo assets and reference architectures.

• Act as a resident Databricks specialist within BIG and empower the wider team.

• Contribute to the creation of reusable accelerators, demo assets, and technical playbooks.

• Keep abreast of Databricks updates and the latest trends in data and AI.

• Represent BIG at customer engagements, webinars, and Databricks partner events.

• Provide field insights to Databricks product and partner teams.

• Willingness to travel up to 15% for customer meetings and partner collaboration.

⛳️ Requirements

• Over 3 years of practical experience with Databricks and/or Snowflake in a technical role.

• More than 5 years in customer-facing technical positions, such as solutions architecture, technical consulting, or sales engineering.

• Proven experience in designing, presenting, and implementing production data architectures for enterprise clients, including Lakehouse, Delta Lake, and Unity Catalog methodologies, on AWS, Azure, and/or GCP.

• Databricks Professional-level certification, such as Data Engineer Professional or Machine Learning Professional.

• Strong proficiency in at least one core data domain: big data engineering, Data Warehousing & ETL, or Data Science & ML.

• Proficiency in Python and SQL.

• Excellent verbal, written communication, and presentation abilities.

• Capability to lead business-level discussions with both technical and non-technical clients as well as internal team members.

• Ability to simplify complex topics into clear business value and gain support from engineers and executives.

• Experience with Spark and Kafka, or Data Warehousing & ETL, or Data Science & ML.

• Preferred: Degree in Computer Science, Applied Mathematics, Operations Research, or a related quantitative field.

• Preferred: Experience with dbt, Fivetran, Airflow, or Delta Sharing.

• Preferred: Familiarity with AI/GenAI frameworks and LLM application patterns.

• Preferred: Databricks GenAI Engineer Associate certification.

• Preferred: Exposure to enterprise engagement cycles.

• Preferred: Experience with frontier LLMs such as Claude Code for SDLC acceleration.

🏝️ Benefits

• Become part of a Certified Great Place to Work that values a people-first, collaborative culture.

• Access to over 10 advanced technology practices and ongoing learning opportunities.

• Competitive salary.

• Comprehensive benefits.

• Flexible, remote-friendly work environment.

• A team that celebrates achievements together.