{"id":3710136,"url":"https://alion.io/job/tech-mahindra-databricks-platform-engineering-lead-technical-delivery-lead","title":"Databricks Platform Engineering Lead / Technical Delivery Lead","company":{"id":5484,"name":"Tech Mahindra","domain":"techmahindra.com","url":"https://alion.io/company/tech-mahindra","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"A","score":100,"open_postings":4,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":9,"computed_at":"2026-11-08T05:47:12Z"}},"role":"DevOps","role_family":"DevOps","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":["Irvine, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":120000,"max":140000,"currency":"USD","period":"year","gross":null,"usd_annual":140000},"salary_estimate":null,"experience_years_min":10,"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":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Incident Management","optional":false},{"name":"Platform Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Azure DevOps","optional":true},{"name":"MLFlow","optional":true},{"name":"Power BI","optional":true}],"status":"live","first_seen_at":"2026-11-03T22:40:09Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-09T01:01:12Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Job Description\n\nSkill Set :\nazure databricks\n\nTotal Experience :\n8.00 to 10.00 Years\n\nNo of Openings :\n1\n\nJob Post Date :\n30/10/2026\n\nJob Expiry Date :\n30/12/2026\n\nDomain :\nIT\n\nLocation :\nIRVINE [United States]\n\nJob Reference No :\n4115685\n\nJob Summary\nDatabricks Platform Engineering Lead / Technical Delivery Lead\nWarren, NJ\nProject Overview\nWe are seeking an experienced Databricks Platform Engineering Lead to support an enterprise-wide pricing application within a global reinsurance organization. The application leverages Databricks as its data and analytics platform and integrates with a SQL Server-based pricing application.\nThe resource will lead the engineering, governance, and ongoing enhancement of the Databricks platform supporting the pricing application. The role requires a strong combination of hands-on platform engineering, Databricks administration, data engineering, and technical delivery leadership.\nThe ideal candidate must be capable of managing the Databricks platform foundation while providing technical oversight to data-engineering teams building ETL/ELT pipelines, transformations, and pricing data products.\nTechnical and Delivery Expertise\n10+ years of overall technology experience.\n5+ years of hands-on experience with Databricks, cloud data platforms, or platform engineering.\n3+ years of experience in a Platform Lead, Databricks Lead, Cloud Platform Engineer, Data Platform Lead, or similar role.\nStrong hands-on experience with: Azure Databricks\nDatabricks account and workspace administration\nUnity Catalog\nApache Spark and PySpark\nPython and SQL\nDelta Lake and Lakehouse architecture\nAzure Data Lake Storage\nAzure Data Factory or comparable integration tools\nDatabricks Workflows and job orchestration\nInfrastructure as code using Terraform\nCI/CD and automated deployment practices\n\nStrong understanding of: Databricks workspace provisioning and administration\nDevelopment, test, and production environment management\nCompute provisioning and cluster configuration\nCluster policies, pools, runtimes, and serverless compute\nPlatform security, identity, and access management\nService principals, managed identities, and secrets management\nAzure networking, private endpoints, and secure connectivity\nUnity Catalog architecture, permissions, lineage, and governance\nPlatform monitoring, logging, auditability, and observability\nDatabricks performance, capacity, and cost optimization\nProduction support and platform-incident management\n\nGood understanding of data-engineering practices, including: Batch and streaming data ingestion\nETL/ELT pipeline development\nMedallion architecture\nData transformations and enrichment\nData quality, validation, and reconciliation\nSchema management and data lineage\nSpark workload and query optimization\n\nExperience leading globally distributed platform, data-engineering, application, QA, DevOps, and production-support teams.\nAbility to participate in architecture reviews, solution-design discussions, code reviews, security assessments, and production-readiness evaluations.\nStrong understanding of Agile delivery, release management, risk management, dependency management, and stakeholder governance.\nPreferred Qualifications\nPrior experience implementing a Databricks-enabled pricing, underwriting, actuarial, insurance analytics, or financial-services application.\nExperience working with global insurance or reinsurance carriers.\nUnderstanding of reinsurance pricing, underwriting, treaty, and facultative business processes.\nExperience integrating Databricks with: Pricing engines\nSQL Server applications\nPolicy, claims, and accounting systems\nData warehouses and reporting platforms\nInternal and third-party data sources\n\nExperience establishing reusable Databricks platform standards, engineering frameworks, and reference architectures.\nExperience implementing a hybrid solution of Databricks and SQL \nExperience defining the division of responsibility among platform engineering, data engineering, application development, DevOps, data science, and production-support teams.\nFamiliarity with MLflow, model lifecycle management, model serving, or actuarial-model integration.\nExperience implementing data governance, metadata management, lineage, role-based access, audit controls, and regulatory controls.\nFamiliarity with Azure DevOps, Terraform, Power BI, Microsoft Purview, Azure Monitor, or comparable tools.\nDatabricks and Microsoft Azure certifications are preferred.\nExperience supporting business-critical production platforms with defined availability, recovery, security, and performance requirements.\nThe Resource Will Be Expected To:\nOwn the engineering and operational management of the Databricks platform supporting the enterprise pricing application.\nLead end-to-end technical delivery of platform enhancements, environment changes, integrations, releases, and production improvements.\nProvision and administer Databricks accounts, workspaces, compute resources, clusters, policies, and supporting Azure services.\nDefine and enforce platform standards covering architecture, security, governance, compute, deployment, monitoring, and cost management.\nDesign and maintain appropriate separation across development, test, UAT, and production environments.\nImplement infrastructure as code and automated deployment practices for Databricks and supporting cloud resources.\nEstablish secure connectivity between Databricks, SQL Server, cloud storage, the pricing engine, the underwriting workbench, and other enterprise systems.\nConfigure and maintain identity, access, security, secrets, networking, and governance controls.\nDefine Unity Catalog structures, access models, data ownership, lineage, and auditability standards.\nEstablish cluster policies, runtime standards, compute controls, and workload-management practices.\nMonitor and optimize platform availability, reliability, performance, capacity, and cost.\nTroubleshoot workspace, authentication, networking, compute, storage, access, and platform-performance issues.\nLead root-cause analysis and corrective actions for platform incidents and recurring operational problems.\nProvide technical oversight to data engineers building ingestion pipelines, transformations, curated datasets, and pricing data products.\nReview pipeline designs, Spark workloads, data-processing patterns, deployment approaches, and production-readiness plans.\nEnsure that data-engineering solutions comply with platform, security, governance, quality, and performance standards.\nCoordinate platform engineering, data engineering, application development, QA, DevOps, infrastructure, security, and production-support teams.\nIndependently identify technical and delivery impacts across Databricks, the SQL Server pricing engine, the underwriting workbench, and integrated systems.\nSupport successful SIT, UAT, regression testing, release validation, deployment, cutover, and post-production stabilization.\nCommunicate technical risks, delivery dependencies, architectural decisions, and recovery plans to business and technology stakeholders.\nServe as the primary technical point of contact for the Databricks platform and its integration with the enterprise pricing application.\nServe as a subject matter expert on Databricks platform engineering, administration, governance, security, reliability, and operational best practices.\nThe pay range for this role is $120k - $140k per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.\nThanks & Regards\nTech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at .”","description_format":"text","description_chars":8550,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Information Technology","Professional Services","Systems Integrators","Business Process Outsourcing (BPO)"],"lifecycle":[{"event":"open","at":"2026-11-03T22:40:09Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 786 · green card filings: 5","filings_12m":786,"filings_prev_12m":1324,"green_card_filings_12m":5,"median_offered_wage_usd":112386,"route":null,"cap_exempt":false,"checked_at":"2026-11-08T10:45:15+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":293}],"liveness":{"score":80,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.892,"p_room":0.9,"age_days":4,"expected_fill_days":9,"reasons":["conf:1","velocity","win:mid","comp:brand"],"computed_at":"2026-11-08T05:47:12Z"},"pay":{"stated_usd_annual":140000,"is_top_pay":false},"html_url":"https://alion.io/job/tech-mahindra-databricks-platform-engineering-lead-technical-delivery-lead","json_url":"https://alion.io/job/tech-mahindra-databricks-platform-engineering-lead-technical-delivery-lead.json","meta":{"generated_at":"2026-11-09T01:41:38Z","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":3538,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":5484},"rest":"https://alion.io/mcp/rest/get_company?id=5484"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftech-mahindra-databricks-platform-engineering-lead-technical-delivery-lead"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Ftech-mahindra-databricks-platform-engineering-lead-technical-delivery-lead"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Ftech-mahindra-databricks-platform-engineering-lead-technical-delivery-lead"},{"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/tech-mahindra-databricks-platform-engineering-lead-technical-delivery-lead\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftech-mahindra-databricks-platform-engineering-lead-technical-delivery-lead"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3710136}},{"tool":"search_jobs","arguments":{"company":"techmahindra.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3710136},"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. 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