{"id":2771073,"url":"https://alion.io/job/techs-to-suit-databricks-coe-solution-lead-data-engineering","title":"Databricks CoE Solution Lead - Data Engineering","company":{"id":3806770,"name":"Techs To Suit","domain":"techstosuit.com","url":"https://alion.io/company/techs-to-suit","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India","Bengaluru, India","Chennai, India","Pune, 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and Genie.\n\n- Advanced Spark/PySpark, SQL, data modelling, ETL/ELT, performance tuning and distributed data processing.\n\n- Enterprise data platform design across Azure, AWS and/or GCP.\n\n- Strong grasp of data governance, security, metadata management, privacy, compliance and FinOps.\n\n- Databricks certifications and AI/ML, GenAI and modern analytics experience preferred.\n\nCore Skills : \n\n- Enterprise Data & AI Architecture.\n\n- Lakehouse, Lakebase & Data Platform Modernisation.\n\n- Databricks Solution Architecture & Governance.\n\n- Data Engineering, Analytics & AI/ML Enablement.\n\n- Performance Optimisation & Scalability.\n\n- Technical Consulting & Architecture Reviews.\n\n- Strategic Solutioning, Pre-sales & RFP/RFI.\n\n- CoE Development, Accelerators & Reusable Assets.\n\n- Delivery Governance & Best Practice Definition.\n\n- Partner Ecosystem Collaboration & GTM Strategy.\n\n- Capability Building, Mentoring & Innovation.\n\n- Executive Presentations & Customer Advisory.\n\nSoft Skills : \n\n- Thought leadership & continuous learning.\n\n- Strategic thinking & business outcome orientation.\n\n- Strong communication & storytelling.\n\n- Customer-first mindset with ownership & accountability.\n\n- Analytical & decision-making skills.\n\n- Cross-functional & global team collaboration.\n\nKey Responsibilities : \n\n- Serve as the Databricks SME and provide architecture leadership, governance, and best practices across data, analytics, and AI engagements.\n\n- Lead enterprise solution architecture, platform modernization, migration assessments, and Databricks adoption initiatives.\n\n- Design scalable Lakehouse, Data Engineering, Analytics, AI/ML, GenAI, and Data Governance solutions on Databricks.\n\n- Develop reusable accelerators, frameworks, reference architectures, and solution assets to drive delivery efficiency and differentiation.\n\n- Support strategic pursuits, RFP/RFI responses, customer workshops, executive presentations, and complex solutioning engagements.\n\n- Provide technical oversight and architecture governance for key programs, ensuring scalability, security, performance, reliability, and cost optimization.\n\n- Drive innovation and evaluate emerging Databricks capabilities to strengthen service offerings and technical competitiveness.\n\n- Mentor architects, SMEs, and engineering teams through knowledge sharing, coaching, and capability development initiatives.\n\n- Establish engineering standards, architecture review processes, and delivery best practices across the practice.\n\n- Collaborate with Databricks, cloud hyperscalers, and ecosystem partners to strengthen joint go-to-market and solution development efforts.\n\n- Contribute to practice growth through competency building, technical hiring, community engagement, and thought leadership.\nSkills\nData Engineering, Databricks, Cloud Computing, Solution Architect, Data Analytics, 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