{"id":2921815,"url":"https://alion.io/job/symphoni-hr-senior-azure-databricks-engineer","title":"Senior Azure Databricks Engineer","company":{"id":3800108,"name":"Symphoni HR","domain":"symphonihr.com","url":"https://alion.io/company/symphoni-hr","size_band":"201-500","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"A","score":93,"open_postings":40,"ghost_share":0,"stale_share":0,"repost_share":0.5,"time_to_fill_p50_days":45,"computed_at":"2026-10-30T05:48:23Z"}},"role":"DevOps","role_family":"DevOps","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":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16500,"max_usd":39000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":53},"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-19T00:00:00Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-30T04:29:31Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"We are seeking a highly skilled Senior Azure Databricks Engineer to design, develop, and optimize scalable data platforms and analytics solutions. You will play a pivotal role in building robust data pipelines, implementing Lakehouse architectures, and ensuring high-performance data processing to support enterprise-wide AI and analytics initiatives. This role offers the opportunity to work on complex, large-scale data ecosystems within a hybrid work environment.\nOur client is a leading global computer software organization known for delivering innovative digital transformation and analytics solutions. They operate at a significant scale, supporting enterprise-level clients across various industries with cutting-edge technology and data-driven insights. The company fosters a collaborative, high-performance culture that encourages technical excellence and continuous professional growth.\nResponsibilities\nDesign, develop, and maintain high-performance data pipelines using Databricks, Apache Spark, and cloud-native services.\nBuild and optimize complex ETL/ELT workflows for large-scale structured and unstructured datasets.\nDevelop sophisticated data models and implement comprehensive data quality, validation, and governance frameworks.\nIntegrate data from diverse sources into a unified, scalable Lakehouse architecture.\nOptimize Spark jobs and Databricks workloads to ensure maximum performance, scalability, and cost efficiency.\nImplement robust security controls, access management, and data governance policies using Unity Catalog.\nCollaborate cross-functionally with business, analytics, and AI/ML teams to deliver trusted, high-impact data products.\nMonitor, troubleshoot, and resolve complex data pipeline issues to ensure system reliability.\nSupport CI/CD, DevOps, and infrastructure automation practices to streamline deployment cycles.\nRequirements\nBachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.\n9-15 years of total experience in Data Engineering and Data Warehousing.\nMinimum 5+ years of hands-on experience with Azure Data Engineering technologies.\nMinimum 4+ years of hands-on experience with the Azure Databricks and Spark ecosystem.\nProficiency in Databricks Lakehouse Platform, Apache Spark, PySpark, Delta Lake, SQL, and Python.\nStrong understanding of data lake, lakehouse, and cloud-native architecture patterns.\nExperience with Microsoft Fabric, Power BI, Azure Event Hubs, Kafka, and Microsoft Purview.\nProven ability to build and maintain Machine Learning data pipelines.\nStrong analytical, problem-solving, and communication skills with the ability to lead technical initiatives.","description_format":"text","description_chars":2677,"description_truncated":false,"requirements":{"experience_years_min":9,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-20T12:13:17Z"}],"visa":[],"liveness":{"score":54,"band":"ok","label":"Likely open","p_open":1,"p_active":0.542,"p_room":1,"age_days":11,"expected_fill_days":45,"reasons":["conf:1","agency","velocity","win:early","comp:brand"],"computed_at":"2026-10-30T05:48:23Z"},"pay":null,"html_url":"https://alion.io/job/symphoni-hr-senior-azure-databricks-engineer","json_url":"https://alion.io/job/symphoni-hr-senior-azure-databricks-engineer.json","meta":{"generated_at":"2026-10-30T07:57:14Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":11166,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3800108},"rest":"https://alion.io/mcp/rest/get_company?id=3800108"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsymphoni-hr-senior-azure-databricks-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsymphoni-hr-senior-azure-databricks-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsymphoni-hr-senior-azure-databricks-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/symphoni-hr-senior-azure-databricks-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsymphoni-hr-senior-azure-databricks-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2921815}},{"tool":"search_jobs","arguments":{"company":"symphonihr.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2921815},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}