{"id":3102447,"url":"https://alion.io/job/exl-azure-lead-data-engineer-guidewire","title":"Azure Lead Data Engineer + Guidewire","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":233,"ghost_share":0,"stale_share":0.996,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Enterprise Apps","role_family":"Enterprise Apps","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":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":8,"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":"ETL/ELT","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Databricks","optional":true},{"name":"DataStage","optional":true},{"name":"Power BI","optional":true},{"name":"pySpark","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-09-03T07:20:21Z","employer_posted_date":"2026-09-03","last_verified_at":"2026-11-02T07:33:43Z","board_verified":true,"closed_at":null,"days_open":60,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":60},"description":"Job Description: Azure Lead Data Engineer + Guidewire Role Overview\nWe are seeking an experienced Azure Lead Data Engineer with Guidewire expertise to lead the design, development, and delivery of scalable data engineering solutions for insurance and enterprise data platforms. The ideal candidate will have strong hands-on experience with Azure Data Factory (ADF), Azure Data Lake, Snowflake, DBT, SQL, and cloud-based data integration, along with a solid understanding of Guidewire InsuranceSuite data and integrations.\nThe candidate will provide technical leadership, work closely with business and technology stakeholders, and ensure the delivery of reliable, high-performance, and governed data pipelines.\nKey Responsibilities\nLead the design and development of scalable ETL/ELT data pipelines using Azure Data Factory, Snowflake, DBT, and other Azure data services.\nDesign and manage data integration workflows from multiple source systems, including Guidewire applications and insurance data platforms, into Snowflake and Azure-based data environments.\nAnalyze and understand Guidewire data models, business entities, policy, claims, billing, underwriting, and related insurance datasets.\nDevelop efficient and optimized SQL queries for data extraction, transformation, validation, and reporting.\nLead technical discussions with business stakeholders, Guidewire teams, architects, and data consumers to translate business requirements into scalable technical solutions.\nProvide technical leadership and guidance to data engineering team members and review code, data models, and pipeline designs.\nMonitor, troubleshoot, and optimize data pipelines to ensure high performance, reliability, scalability, and availability.\nImplement and enforce data quality, governance, metadata, lineage, and documentation standards.\nDevelop and maintain reusable data engineering frameworks and best practices.\nCollaborate with data architects, analysts, DevOps, QA, and cloud engineering teams in a cloud-native environment.\nSupport migration and modernization of legacy insurance data platforms into Azure and Snowflake.\nImplement and support CI/CD processes for data engineering workflows.\nEnsure data solutions comply with enterprise security, governance, and regulatory requirements.\nMust-Have Skills\n8+ years of experience in Data Engineering, Data Integration, or related roles.\nStrong hands-on experience with the Azure Cloud Platform and Azure data services.\nProven expertise in Azure Data Factory (ADF) for designing, orchestrating, automating, and monitoring complex data pipelines.\nStrong experience with Azure Data Lake Storage (ADLS) and cloud-based data integration architectures.\nExtensive experience with SQL, including complex queries, performance optimization, and data transformation.\nHands-on experience with Snowflake and SnowSQL for cloud data warehousing and data engineering.\nStrong working knowledge of DBT (Data Build Tool) for data transformation, testing, and documentation.\nExperience working with large-scale and complex enterprise datasets.\nStrong understanding of Guidewire InsuranceSuite, Guidewire data models, or Guidewire-based data integrations.\nExperience working with insurance domain data such as Policy, Claims, Billing, Customer, Producer, and Underwriting data.\nStrong problem-solving, communication, stakeholder management, and technical leadership skills.\nGuidewire-Specific Requirements\nExperience integrating data from Guidewire applications into enterprise data platforms.\nStrong understanding of Guidewire data structures and insurance business processes.\nExperience with Guidewire PolicyCenter, ClaimCenter, and/or BillingCenter data is highly preferred.\nAbility to work with Guidewire APIs, extracts, events, or integration mechanisms where applicable.\nExperience in designing downstream data pipelines and analytics solutions for Guidewire-generated data.\nUnderstanding of insurance data governance, reconciliation, and data quality requirements.\nGood-to-Have Skills\nExperience with Azure Synapse Analytics.\nExperience with Azure Functions.\nKnowledge of Python and/or PySpark for custom data transformations and engineering solutions.\nExperience with Databricks is an added advantage.\nExperience with legacy technologies such as DataStage or Netezza.\nStrong understanding of CI/CD pipelines and DevOps practices for data workflows.\nExperience with data governance, metadata management, data catalog, and data lineage tools.\nExposure to Power BI, Tableau, or other BI and analytics tools.\nExperience in insurance industry data modernization and cloud migration projects.\nQualifications\nBachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.\n8+ years of experience in Data Engineering with strong exposure to Azure and cloud data platforms.\nDemonstrated experience leading data engineering teams or providing technical leadership on enterprise data projects.\nStrong understanding of modern cloud data architecture, ETL/ELT, data warehousing, and data governance.\nExcellent communication and collaboration skills with the ability to work across business and technical teams.\nKey Responsibilities\nLead the design and development of scalable ETL/ELT data pipelines using Azure Data Factory, Snowflake, DBT, and other Azure data services.\nDesign and manage data integration workflows from multiple source systems, including Guidewire applications and insurance data platforms, into Snowflake and Azure-based data environments.\nAnalyze and understand Guidewire data models, business entities, policy, claims, billing, underwriting, and related insurance datasets.\nDevelop efficient and optimized SQL queries for data extraction, transformation, validation, and reporting.\nLead technical discussions with business stakeholders, Guidewire teams, architects, and data consumers to translate business requirements into scalable technical solutions.\nProvide technical leadership and guidance to data engineering team members and review code, data models, and pipeline designs.\nMonitor, troubleshoot, and optimize data pipelines to ensure high performance, reliability, scalability, and availability.\nImplement and enforce data quality, governance, metadata, lineage, and documentation standards.\nDevelop and maintain reusable data engineering frameworks and best practices.\nCollaborate with data architects, analysts, DevOps, QA, and cloud engineering teams in a cloud-native environment.\nSupport migration and modernization of legacy insurance data platforms into Azure and Snowflake.\nImplement and support CI/CD processes for data engineering workflows.\nEnsure data solutions comply with enterprise security, governance, and regulatory requirements.\n Must-Have Skills\n8+ years of experience in Data Engineering, Data Integration, or related roles.\nStrong hands-on experience with the Azure Cloud Platform and Azure data services.\nProven expertise in Azure Data Factory (ADF) for designing, orchestrating, automating, and monitoring complex data pipelines.\nStrong experience with Azure Data Lake Storage (ADLS) and cloud-based data integration architectures.\nExtensive experience with SQL, including complex queries, performance optimization, and data transformation.\nHands-on experience with Snowflake and SnowSQL for cloud data warehousing and data engineering.\nStrong working knowledge of DBT (Data Build Tool) for data transformation, testing, and documentation.\nExperience working with large-scale and complex enterprise datasets.\nStrong understanding of Guidewire InsuranceSuite, Guidewire data models, or Guidewire-based data integrations.\nExperience working with insurance domain data such as Policy, Claims, Billing, Customer, Producer, and Underwriting data.\nStrong problem-solving, communication, stakeholder management, and technical leadership skills.\nGuidewire-Specific Requirements\nExperience integrating data from Guidewire applications into enterprise data platforms.\nStrong understanding of Guidewire data structures and insurance business processes.\nExperience with Guidewire PolicyCenter, ClaimCenter, and/or BillingCenter data is highly preferred.\nAbility to work with Guidewire APIs, extracts, events, or integration mechanisms where applicable.\nExperience in designing downstream data pipelines and analytics solutions for Guidewire-generated data.\nUnderstanding of insurance data governance, reconciliation, and data quality requirements.\nGood-to-Have Skills\nExperience with Azure Synapse Analytics.\nExperience with Azure Functions.\nKnowledge of Python and/or PySpark for custom data transformations and engineering solutions.\nExperience with Databricks is an added advantage.\nExperience with legacy technologies such as DataStage or Netezza.\nStrong understanding of CI/CD pipelines and DevOps practices for data workflows.\nExperience with data governance, metadata management, data catalog, and data lineage tools.\nExposure to Power BI, Tableau, or other BI and analytics tools.\nExperience in insurance industry data modernization and cloud migration projects.\nQualifications\nBachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.\n 8+ years of experience in Data Engineering with strong exposure to Azure and cloud data platforms.\nDemonstrated experience leading data engineering teams or providing technical leadership on enterprise data projects.\nStrong understanding of modern cloud data architecture, ETL/ELT, data warehousing, and data governance.\nExcellent communication and collaboration skills with the ability to work across business and technical teams.","description_format":"text","description_chars":9630,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Business Process Outsourcing (BPO)","AI Consulting & Integration","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-10-22T17:52:44Z"}],"visa":[],"liveness":{"score":14,"band":"cold","label":"Long shot","p_open":1,"p_active":0.497,"p_room":0.28,"age_days":59,"expected_fill_days":27,"reasons":["conf:3","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-02T06:13:15Z"},"pay":null,"html_url":"https://alion.io/job/exl-azure-lead-data-engineer-guidewire","json_url":"https://alion.io/job/exl-azure-lead-data-engineer-guidewire.json","meta":{"generated_at":"2026-11-02T12:31:50Z","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":17092,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-03T00:00:00Z"}},"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":38016},"rest":"https://alion.io/mcp/rest/get_company?id=38016"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fexl-azure-lead-data-engineer-guidewire"},{"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%2Fexl-azure-lead-data-engineer-guidewire"},{"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%2Fexl-azure-lead-data-engineer-guidewire"},{"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/exl-azure-lead-data-engineer-guidewire\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fexl-azure-lead-data-engineer-guidewire"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3102447}},{"tool":"search_jobs","arguments":{"company":"exlservice.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3102447},"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"}}