Managing Consultant, Databricks Engineer/Architect - Birmingham, AL

About the role

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. Department: Data Analytics. Location: Birmingham, AL. Candidates must currently reside in or live within a commutable distance to the Birmingham, AL area.

Responsibilities

• 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.

Requirements

• 7+ years of data engineering/architecture, analytics, or related technical experience, including at least 2 years of hands-on Databricks 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.

Skills

• Databricks Data Engineer Associate or Professional certification (bonus)
• Multiple Databricks project delivery experiences (bonus)
• Experience with modern data and cloud technologies such as Snowflake, Redshift, BigQuery, Kafka, Amazon EMR, Docker, Kubernetes, or Terraform (bonus)
• Experience implementing enterprise data quality and governance using Great Expectations, Collibra, dbt, or Databricks-native capabilities (bonus)
• Exposure to agentic AI and AI-powered development tools, including LangGraph, autonomous agents, GitHub Copilot, Claude Code, Cursor, Windsurf, Codex, or similar technologies (bonus)
• Previous consulting or client-facing technical delivery experience, along with cloud or additional data engineering certifications (bonus)

Benefits

• 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 that's scaling thoughtfully and intentionally, not just chasing growth for growth's 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