{"id":2770835,"url":"https://alion.io/job/sunovaa-tech-senior-data-architect-snowflake","title":"Senior Data Architect - Snowflake","company":{"id":3800722,"name":"Sunovaa","domain":"sunovaa.com","url":"https://alion.io/company/sunovaa-tech","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":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":57000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":17},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache 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Lakehouse / Cloud Data Platform solutions using Snowflake, Databricks, Azure and AWS.\n\n- Drive modernization of legacy data warehouses into scalable and cost-effective cloud data platforms.\n\n- Define conceptual, logical and physical data models using Kimball, Data Vault, 3NF or hybrid approaches.\n\n- Establish Data Governance, Data Quality, Metadata, Data Lineage, Data Catalog and MDM frameworks.\n\n- Define and implement Data Product operating models, including ownership, lifecycle, roadmap, KPIs and adoption metrics.\n\n- Design batch, real-time, streaming and event-driven data integration architectures.\n\n- Provide architecture guidance across SQL, Python, PySpark, ETL/ELT and Kafka/streaming technologies.\n\n- Provide secondary architecture support for AI/ML, MLOps, feature engineering, model deployment and monitoring.\n\n- Review technical designs for scalability, security, resilience, maintainability, performance and cost.\n\n- Lead architecture reviews and provide technical direction to Data Engineers, Architects and delivery teams.\n\n- Conduct architecture workshops with business, security, governance and engineering stakeholders.\n\n- Evaluate technology options, identify risks and communicate architecture trade-offs to senior management.\n\n- Create architecture blueprints, decision records, governance standards and modernization roadmaps.\n\nPreferred Candidate Profile :\n\n- 12+ years of experience in Enterprise Data Architecture with strong hands-on architecture ownership.\n\n- Minimum 5+ years of experience with cloud-native data platforms.\n\n- Strong experience with Snowflake, Databricks, Azure and AWS data services.\n\n- Proven experience designing enterprise data platforms, Data Lakehouse and data modernization solutions.\n\n- Strong knowledge of Data Governance, Data Quality, Metadata, Lineage, Data Catalog and MDM.\n\n- Hands-on experience with Data Product management, including ownership, lifecycle, roadmap, KPIs and adoption metrics.\n\n- Strong understanding of Kimball, Data Vault, Dimensional and 3NF data modelling.\n\n- Strong technical knowledge of SQL, Python, PySpark, ETL/ELT and Kafka/Streaming.\n\n- Working knowledge of AI/ML architecture and MLOps.\n\n- Demonstrated ability to translate business requirements into scalable, governed and reusable data solutions.\n\n- Strong stakeholder management and executive-level communication skills.\n\n- Experience guiding engineering teams and governing implementation quality.\n\n- Experience in large enterprise / multinational environments is preferred.\n\n- Immediate availability and willingness to work 3 days per week from Electronic City, Bangalore preferred.\nSkills\nData Architect, Data Engineering, Snowflake DB, Databricks, AWS, Azure, SQL, Python, PySpark, 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