{"id":1298128,"url":"https://alion.io/job/httpswww-linkedin-comcompanyhire3-global-data-architect","title":"Data Architect","company":{"id":3800189,"name":"https://www.linkedin.com/company/hire3-global/","domain":"hire3global.com","url":"https://alion.io/company/httpswww-linkedin-comcompanyhire3-global","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":["Ahmedabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":49000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":14},"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Looker","optional":true},{"name":"Power BI","optional":true}],"status":"live","first_seen_at":"2026-09-26T08:30:46Z","employer_posted_date":null,"last_verified_at":"2026-09-26T08:30:46Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Databricks Architect with AI\n\nRole Overview:\n\nWe are looking for an experienced Databricks Data Architect to lead the design and implementation of enterprise-scale data platforms using Databricks Lakehouse Architecture. The candidate should have strong expertise in modern data engineering, data architecture, dimensional modeling, and scalable cloud data solutions.\n\nKey Responsibilities:\n\n- Design and implement enterprise-scale data platforms using Databricks Lakehouse Architecture.\n\n- Define end-to-end data architecture covering ingestion, transformation, storage, governance, and consumption layers.\n\n- Establish architecture standards, coding guidelines, reusable design patterns, and best practices.\n\n- Lead technical decisions related to scalability, performance, reliability, and security.\n\n- Design and build scalable ETL/ELT pipelines using PySpark on Databricks.\n\n- Architect Bronze, Silver, and Gold data transformation frameworks.\n\n- Design and manage Delta Lake storage architecture, including optimization and data lifecycle management.\n\n- Implement Databricks Workflows/Lakeflow pipelines for orchestration and automation.\n\n- Define data quality, validation, reconciliation, and monitoring frameworks.\n\n- Oversee CI/CD and DevOps practices for data engineering projects.\n\n- Design enterprise data models using dimensional modeling techniques.\n\n- Develop Star Schemas, Fact Tables, Dimension Tables, and conformed dimensions.\n\n- Define business metrics, KPI layers, semantic models, and curated Gold datasets.\n\n- Provide technical leadership and mentorship to data engineers and developers.\n\n- Conduct architecture and code reviews and ensure adherence to standards.\n\n- Troubleshoot complex technical issues and guide teams in solution design.\n\n- Support solution proposals, estimation, technical governance, and architectural roadmap activities.\n\n- Drive adoption of modern data engineering and cloud-native best practices.\n\nTechnical Skills:\n\n- Mandatory: Data Architecture, Databricks Lakehouse Architecture, Databricks Workflows / Lakeflow, Delta Lake, Unity Catalog, Databricks SQL, PySpark and Spark SQL, ETL/ELT design, Dimensional Data Modeling, Star Schema, Fact & Dimension Modeling, Slowly Changing Dimensions (SCD), Metric View, Python, SQL, Git, CI/CD frameworks, Performance tuning, Data quality frameworks, Batch and incremental processing.\n\n- Cloud & Integration: Azure Databricks (preferred), ADLS Gen2, Azure Data Factory (ADF), Event-based and batch ingestion, Data governance, metadata management, and security.\n\n- Good to Have: Data warehouse modernization, legacy EDW migration, Data Mesh, Medallion Architecture, BI platforms (Power BI, Tableau, Looker).\n\nCandidate Profile:\n\n- 15+ years of relevant experience in data architecture and enterprise data platforms.\n\n- Strong hands-on experience with Databricks and modern data engineering practices.\n\n- Proven experience designing scalable and high-performance data platforms.\n\n- Strong expertise in data modeling, Lakehouse architecture, and cloud data solutions.\n\n- Ability to define target-state architecture and technical roadmaps.\n\n- Experience reviewing technical designs and code and guiding development teams.\n\n- Strong communication skills with the ability to drive technical discussions with architects and business stakeholders.\n\n- Ability to provide architectural governance across multiple workstreams.\n\n- Strong leadership and mentoring capabilities.\n\nSkills\nDatabricks, Delta Lake, PySpark, Data Modeling, ETL, Azure Databricks, Data Architect, Data Engineering, Artificial Intelligence","description_format":"text","description_chars":3590,"description_truncated":false,"requirements":{"experience_years_min":15,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-26T10:00:06Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":30,"reasons":["seen:2","velocity","win:early"],"computed_at":"2026-09-29T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/httpswww-linkedin-comcompanyhire3-global-data-architect","json_url":"https://alion.io/job/httpswww-linkedin-comcompanyhire3-global-data-architect.json","meta":{"generated_at":"2026-09-30T00:36:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":466,"day_limit":5000,"remaining_today":4534,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}