{"id":2710375,"url":"https://alion.io/job/thought-logic-managing-consultant-databricks-engineer-atlanta","title":"Managing Consultant, Databricks Engineer - Atlanta","company":{"id":685881,"name":"Thought Logic","domain":"thoughtlogic.com","url":"https://alion.io/company/thoughtlogic","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Pinpoint","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Atlanta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":110000,"max_usd":209000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1181},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Google BigQuery","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"AI Agents","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Claude Code","optional":true},{"name":"Collibra","optional":true},{"name":"Copilot","optional":true},{"name":"Cursor","optional":true},{"name":"Docker","optional":true},{"name":"Great Expectations","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"OpenAI Codex","optional":true},{"name":"Windsurf","optional":true}],"status":"live","first_seen_at":"2026-10-15T13:16:19Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-18T07:25:54Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Managing Consultant, Databricks Engineer - Atlanta\n\nThought 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.\n\n***Candidates must currently reside in or live within a commutable distance to the Atlanta Metro area ****\nThe Role\nWe 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.\nIn this role, you'll 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. You'll work alongside experienced architects and consultants while taking ownership of technical delivery and developing your client-facing and consulting skills.\n\nWhat You'll Do\nDesign 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.\nDevelop and optimize batch, micro-batch, and streaming data pipelines using Auto Loader, Apache Spark, PySpark, SQL, and Python.\nBuild robust ETL/ELT processes, data models, and orchestration workflows using Databricks Jobs/Workflows, Airflow, dbt, and modern data engineering patterns.\nImplement data quality, observability, governance, auditability, and performance optimization capabilities across enterprise data platforms.\nEstablish 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.\nWho You'll Work With\nExperienced consultants, architects, and engineers focused on solving complex business and technology challenges through data.\nClients across industries looking to modernize data platforms, improve data accessibility and quality, and create greater value from their data.\nCross-functional stakeholders across technology, analytics, business operations, and leadership, requiring both technical depth and strong communication.\nA collaborative team that values curiosity, humility, technical excellence, hands-on problem-solving, and client impact.\n\nWhat You'll Bring\n\nWhat You'll Bring\n7+ 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.\nStrong 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.\nExperience 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.\nUnderstanding of enterprise data quality, governance, observability, auditability, performance optimization, CI/CD, and automated testing, with exposure to Databricks Asset Bundles and Terraform.\nStrong 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.\n\nBonus Points if You Have\nDatabricks Data Engineer Associate or Professional certification and multiple Databricks project delivery experiences.\nExperience with modern data and cloud technologies such as Snowflake, Redshift, BigQuery, Kafka, Amazon EMR, Docker, Kubernetes, or Terraform.\nExperience implementing enterprise data quality and governance using Great Expectations, Collibra, dbt, or Databricks-native capabilities.\nExposure to agentic AI and AI-powered development tools, including LangGraph, autonomous agents, GitHub Copilot, Claude Code, Cursor, Windsurf, Codex, or similar technologies.\nPrevious consulting or client-facing technical delivery experience, along with cloud or additional data engineering certifications.\nWhy Thought Logic\nWork on transformations that matter, not slide decks that sit on shelves\nReal responsibility and ownership over how work gets delivered and how clients experience us\nDirect access to firm leadership and influence over how we grow and evolve\nA culture that values depth over optics, outcomes over activity, and people over process\nThe chance to grow your career in a firm that's scaling thoughtfully and intentionally, not just chasing growth for growth's sake\nThe opportunity to flex in a continuous learner environment. 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