{"id":2774013,"url":"https://alion.io/job/persistent-systems-lead-azure-data-engineer","title":"Lead Azure Data Engineer","company":{"id":59479,"name":"Persistent Systems","domain":"persistent.com","url":"https://alion.io/company/persistent-systems","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zwayam","truth_index":{"grade":"B","score":75,"open_postings":17,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"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":26000,"max_usd":44000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","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":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-08-07T05:11:55Z","employer_posted_date":"2026-10-17","last_verified_at":"2026-10-17T13:52:38Z","board_verified":true,"closed_at":null,"days_open":71,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":71},"description":"About Persistent\nWe are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what?s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.\nOur disruptor?s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been recognized as the Fastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in the Everest Group Private Equity (PE) Services PEAK Matrix? Assessment 2026 and Software Product Engineering PEAK Matrix? Assessment 2026.\nAbout Position:\nWe are seeking an experienced Lead Azure Data Engineer with strong expertise in Azure Databricks, Snowflake, PySpark, and SQL to design, develop, and optimize modern cloud-based data platforms. The ideal candidate will be responsible for building scalable enterprise data solutions, leading data engineering initiatives, and enabling advanced analytics, reporting, and business intelligence capabilities across the organization.\nRole: Lead Azure Data Engineer - Snowflake & Databricks\nLocation: Pune, Bengaluru, Chennai\nExperience: 12 to 16 years\nJob Type: Full Time Employment\nWhat You'll Do:\nDesign, develop, and maintain enterprise-scale data pipelines using Azure Databricks and PySpark.\nBuild and optimize ETL/ELT frameworks for processing large-scale structured and unstructured datasets.\nDevelop and manage Snowflake data warehouse solutions, including data modeling, transformation, and performance optimization.\nDesign and implement scalable Lakehouse architectures using Azure and Snowflake platforms.\nCreate reusable data ingestion, transformation, orchestration, and validation frameworks.\nIntegrate data from various enterprise applications, databases, APIs, and cloud platforms into Azure Data Lake and Snowflake environments.\nOptimize data processing workloads for performance, scalability, reliability, and cost efficiency.\nImplement data governance, security, data quality, and monitoring frameworks across enterprise platforms.\nCollaborate with architects, business stakeholders, data analysts, and engineering teams to deliver business-driven solutions.\nLead troubleshooting and resolution of production issues involving data pipelines and cloud-based data platforms.\nParticipate in architecture reviews and contribute to data platform modernization initiatives.\nImplement CI/CD pipelines, deployment automation, and DevOps practices for data engineering workloads.\nMentor junior engineers and promote engineering best practices across the team.\nExpertise You'll Bring:\n12-16 years of experience in Data Engineering, Cloud Data Platforms, and Enterprise Analytics solutions.\nStrong hands-on expertise in Azure Databricks, PySpark, Spark SQL, and Delta Lake.\nProven experience with Snowflake including data loading, transformations, data sharing, and query performance optimization.\nAdvanced SQL expertise including complex query development, optimization, troubleshooting, and performance tuning.\nExperience with Azure Data Factory (ADF), Azure Data Lake Storage (ADLS Gen2), Azure Key Vault, and Azure DevOps.\nStrong understanding of Data Warehousing, Dimensional Modeling, ETL/ELT architecture, and Lakehouse architecture.\nExperience developing and supporting enterprise-scale data pipelines and cloud-native analytics platforms.\nKnowledge of data governance, metadata management, security controls, and data quality frameworks.\nExperience working with Git, CI/CD pipelines, DevOps processes, and Agile delivery methodologies.\nStrong expertise in performance tuning, workload optimization, and scalable data platform design.\nAbility to lead technical discussions, architectural reviews, and engineering initiatives.\nStrong analytical, troubleshooting, debugging, and problem-solving skills.\nExcellent communication, leadership, and stakeholder management capabilities.\nBenefits:\nCompetitive salary and benefits package\nCulture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications\nOpportunity to work with cutting-edge technologies\nEmployee engagement initiatives such as project parties, flexible work hours, and Long Service awards\nAnnual health check-ups\nInsurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents\nValues-Driven, People-Centric & Inclusive Work Environment:\nPersistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.\nWe support hybrid work and flexible hours to fit diverse lifestyles.\nOur office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.\nIf you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment\nLet?s unleash your full potential at Persistent -persistent.com/careers\n?Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.?","description_format":"text","description_chars":6083,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule","Growth opportunities","Hybrid work","Insurance coverage"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Health Care","Information Technology","IT Outsourcing & Dedicated Teams"],"lifecycle":[{"event":"open","at":"2026-10-17T07:35:17Z"}],"visa":[],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.467,"p_room":0.28,"age_days":71,"expected_fill_days":26,"reasons":["conf:1","win:tail","crowd:brand"],"computed_at":"2026-10-17T15:19:10Z"},"pay":null,"html_url":"https://alion.io/job/persistent-systems-lead-azure-data-engineer","json_url":"https://alion.io/job/persistent-systems-lead-azure-data-engineer.json","meta":{"generated_at":"2026-10-17T15:19:10Z","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":20696,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":59479},"rest":"https://alion.io/mcp/rest/get_company?id=59479"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpersistent-systems-lead-azure-data-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%2Fpersistent-systems-lead-azure-data-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%2Fpersistent-systems-lead-azure-data-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/persistent-systems-lead-azure-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpersistent-systems-lead-azure-data-engineer"}]}