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Managing Consultant, Databricks Engineer Minneapolis
Job Location:
Job Location:
Bloomington, IN - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
3 September 2026 (22 hours ago)
Posted:
Application Deadline:
1 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Managing Consultant Databricks Engineer - Minneapolis
Thought Logic Consulting is a functionally-led digitally enabled consultancy that exists at the intersection of business transformation and technology innovation. We partner with clients to solve their most complex business problems through a combination of deep functional expertise modern technology and practical execution. Our highly collaborative local-market approach gives clients senior-level attention while giving our consultants room to grow lead and build.
***Candidates must currently reside in or live within a commutable distance to the Minneapolis Office/Twin Cities Metro ****
The Role
We are looking for a technically skilled and motivated Databricks Engineer with 7 years of experience and strong hands-on Databricks expertise to join our growing Data & Analytics team.
In this role youll design and build modern data solutions for clients with a focus on Databricks Lakehouse architecture scalable data pipelines cloud data platforms data quality and emerging AI-enabled engineering practices. Youll work alongside experienced architects and consultants while taking ownership of technical delivery and developing your client-facing and consulting skills.
What Youll Do
- Design and build scalable data engineering solutions using Databricks Lakehouse including Delta Lake Unity Catalog Delta Live Tables/Lakeflow Declarative Pipelines Delta Sharing and Uniform (Iceberg) where appropriate.
- Develop and optimize batch micro-batch and streaming data pipelines using Auto Loader Apache Spark PySpark SQL and Python.
- Build robust ETL/ELT processes data models and orchestration workflows using Databricks Jobs/Workflows Airflow dbt and modern data engineering patterns.
- Implement data quality observability governance auditability and performance optimization capabilities across enterprise data platforms.
- Establish modern CI/CD and DevOps practices for data engineering including Databricks Asset Bundles automated testing deployment automation and Infrastructure as Code with tools such as Terraform.
Who Youll Work With
- Experienced consultants architects and engineers focused on solving complex business and technology challenges through data.
- Clients across industries looking to modernize data platforms improve data accessibility and quality and create greater value from their data.
- Cross-functional stakeholders across technology analytics business operations and leadership requiring both technical depth and strong communication.
- A collaborative team that values curiosity humility technical excellence hands-on problem-solving and client impact.
What Youll Bring
What Youll Bring
- 7 years of data engineering analytics or related technical experience including at least 2 years of hands-on Databricks engineering and strong experience with Lakehouse technologies.
- Strong hands-on skills with Databricks Delta Lake Unity Catalog Lakeflow/Delta Live Tables Apache Spark PySpark SQL and Python including scalable batch and streaming pipelines.
- Experience with Databricks Workflows/Jobs Auto Loader Airflow dbt and/or similar orchestration and transformation technologies plus experience with cloud data platforms such as Snowflake Redshift or BigQuery.
- Understanding of enterprise data quality governance observability auditability performance optimization CI/CD and automated testing with exposure to Databricks Asset Bundles and Terraform.
- Strong consulting communication and problem-solving skills with the ability to work directly with technical and non-technical stakeholders and translate business requirements into practical data solutions.
Bonus Points if You Have
- Databricks Data Engineer Associate or Professional certification and multiple Databricks project delivery experiences.
- Experience with modern data and cloud technologies such as Snowflake Redshift BigQuery Kafka Amazon EMR Docker Kubernetes or Terraform.
- Experience implementing enterprise data quality and governance using Great Expectations Collibra dbt or Databricks-native capabilities.
- Exposure to agentic AI and AI-powered development tools including LangGraph autonomous agents GitHub Copilot Claude Code Cursor Windsurf Codex or similar technologies.
- Previous consulting or client-facing technical delivery experience along with cloud or additional data engineering certifications.
Why Thought Logic
- Work on transformations that matter not slide decks that sit on shelves
- Real responsibility and ownership over how work gets delivered and how clients experience us
- Direct access to firm leadership and influence over how we grow and evolve
- A culture that values depth over optics outcomes over activity and people over process
- The chance to grow your career in a firm thats scaling thoughtfully and intentionally not just chasing growth for growths sake
- The opportunity to flex in a continuous learner environment. Get access and exposure to the latest tools technologies and trends in the AI space
Required Experience:
Contract
About Company
Challenge the Expected™ Thought logic is a functionally-led, digitally enabled consultancy We specialize in transforming core business functions with advanced digital solutions that drive measurable business outcomes. Our proven approach delivers where it matters most: real ROI a ... View more
