{"id":528298,"title":"Chief Architect - Data Engineering (Databricks Practice)","company":"Unison Group","city":"Bohmte","region":"Niedersachsen","location":"Bohmte, Lower Saxony","work_model":"unknown","employment_type":"full_time","employment":["full_time"],"roles":["data_engineering","architecture"],"visa":"not_mentioned","relocation":"not_mentioned","posted_at":"2026-08-20T00:00:00+00:00","tools":["Databricks","Hadoop","Azure","Delta Lake","Unity","Apache Airflow","Python","CI/CD"],"seniority":"lead","years_experience_min":null,"german_requirement":"not_mentioned","german_level":"unspecified","english_requirement":"required","english_level":"unspecified","team_language":"unknown","confidence":0.4,"method":"rules","language_badge":"English ad, no German stated","badge_key":"english_ad","language_evidence":null,"requirements_snippet":null,"url":"https://apply.workable.com/j/D916DA1E16","source":"workable","agency":null,"description_text":"We are building a fast-growing Databricks practice delivering enterprise data and AI solutions across APAC. As Lead Solution Architect – Data Engineering, you will be the technical anchor of the practice: leading solution design on client engagements, owning and defending enterprise architectures in presales, and driving large-scale migration and cloud transformation programs. This is a hands-on leadership role for a builder who can equally command a whiteboard in front of a CTO and a Spark UI when a pipeline misbehaves. You will also shape the practice itself — mentoring engineers, creating accelerators and reusable assets, and converting delivery success into case studies and go-to-market offerings.\n\nArchitecture & Delivery\n• Own end-to-end architecture and design decisions on Databricks engagements, ensuring solutions are secure, scalable, performant, and aligned with Lakehouse best practices.\n• Lead delivery of production-grade data platforms — ingestion, transformation, orchestration, governance through Unity Catalog, and downstream BI/ML enablement.\n• Lead large-scale migrations (legacy DW/ETL, Hadoop, on-prem estates) and cloud transformation projects to Databricks on Azure/AWS/GCP, including assessment, wave planning, and cutover.\n• Stay hands-on: performance tuning, debugging, code and design reviews, and setting engineering standards for the team.\n\nPresales & Stakeholder Management\n• Own and defend enterprise solution designs in front of architecture boards, CIOs, and CTOs — and enjoy it.\n• Drive presales end-to-end: discovery, solutioning, estimation, PoCs, RFPs, and proposals that convert.\n• Translate hard technical trade-offs into decisions executives can act on — from engineer to boardroom without changing gears.\n\nWho Thrives Here\n• A builder at heart — 12+ years in data engineering/architecture, 3+ on Databricks at enterprise scale, and still happiest when hands are on the keyboard.\n• Deep Spark expertise — architecture, performance tuning, streaming, debugging, the advanced stuff that separates architects from diagram-drawers.\n• Lakehouse fluency — Medallion architecture, Delta Lake, Unity Catalog, governance, orchestration (Workflows, DLT/Lakeflow, Airflow, ADF); Microsoft Fabric exposure a bonus.\n• Battle-tested in migrations — you've led large transformation programs and have the scars and success stories to show for it.\n• Presales instinct — you don't just design solutions; you sell them, price them, and defend them under fire.\n• Modern edge — strong Python/SQL/Scala, CI/CD for data platforms, and comfort integrating ML/AI (MLflow, LLM APIs like OpenAI and Anthropic) into what you build.\n• Certified credibility — Databricks Data Engineer Professional / SA accreditations strongly preferred.\n• Founder energy — curiosity, adaptability, and the drive to build offerings, not just deliver projects","responsibilities_text":null,"requirements_text":null,"status":"open","duplicate_of":null,"first_seen":"2026-11-13T04:26:45.959033+00:00","responsibilities_summary":null,"requirements_summary":null,"all_tools":["Databricks","Hadoop","Azure","Delta Lake","Unity","Apache Airflow","Python","CI/CD","MLflow","LLM","OpenAI API"],"posting_language":"en","evidence":[],"years_experience_max":null,"mobility_evidence":[],"model_version":"rules-11","english_badge":"English required","company_id":197555}