{"id":3503254,"url":"https://alion.io/job/tech-mahindra-tech-lead-with-microsoft-fabric-databricks","title":"Tech lead with Microsoft Fabric, Databricks","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":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"Leadership","role_family":"Leadership","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":["Houston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":125000,"max":135000,"currency":"USD","period":"year","gross":null,"usd_annual":135000},"salary_estimate":null,"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":"Azure SQL Database","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Git","optional":false},{"name":"Least Privilege","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"MS SQL","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false},{"name":"Vault","optional":false},{"name":"Power BI","optional":true}],"status":"live","first_seen_at":"2026-10-30T04:32:55Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-10-30T22:24:28Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Description\n\nSkill Set :\nFabric Lakehouse\n\nTotal Experience :\n8.00 to 10.00 Years\n\nNo of Openings :\n1\n\nJob Post Date :\n16/10/2026\n\nJob Expiry Date :\n28/11/2026\n\nDomain :\nIT\n\nLocation :\nHOUSTON [United States]\n\nJob Reference No :\n4113400\n\nJob Summary\nTech lead with Microsoft Fabric, Databricks\nHuston, TX (Onsite)\nPosition Summary\nThe Technical Lead - Data Platforms & Analytics will provide hands-on technical leadership for the design, implementation, administration, security, and continuous improvement of the enterprise data platform. The role will lead solutions across Microsoft Fabric, OneLake, Azure Databricks, Unity Catalog, and Microsoft SQL database technologies, enabling reliable and governed data products for oil and gas operations, finance, asset management, supply chain, and corporate functions. This position combines architecture, engineering, platform operations, database administration, data governance, and technical team leadership.\nKey Responsibilities\nTechnical leadership: Lead solution design, engineering standards, code and architecture reviews, delivery planning, troubleshooting, and technical mentoring for data engineering and platform teams.\nMicrosoft Fabric and OneLake: Design and operate Fabric workspaces, Warehouses, pipelines, notebooks, semantic models, and data products; establish OneLake organization, naming, security, lifecycle, and performance standards.\nAzure Databricks: Architect and optimize Databricks workspaces, clusters, jobs, notebooks, Delta Lake solutions, medallion architectures, and batch or streaming pipelines using SQL, Python, PySpark, and Spark.\nUnity Catalog: Implement centralized governance for catalogs, schemas, tables, views, volumes, models, and lineage; administer permissions, service principals, managed identities, external locations, and least-privilege access.\nSQL database administration: Administer SQL Server and Azure SQL environments, including installation and configuration, upgrades, patching, backup and recovery, high availability, disaster recovery, security, capacity planning, performance tuning, indexing, and query optimization.\nData integration: Build resilient ingestion and transformation patterns for operational applications, historians, ERP, field systems, APIs, files, and third-party data sources.\nSecurity and compliance: Apply identity, encryption, network isolation, secrets management, data classification, retention, auditing, and segregation-of-duties controls in partnership with cybersecurity and risk teams.\nDevOps and automation: Establish source control, branching, testing, CI/CD, infrastructure-as-code, release management, monitoring, alerting, and automated environment promotion.\nReliability and support: Define service levels, observability, incident response, problem management, runbooks, capacity thresholds, and platform cost optimization practices.\nStakeholder partnership: Translate business requirements into scalable technical solutions and communicate architecture decisions, risks, dependencies, and trade-offs to technical and executive stakeholders.\nOil & Gas Domain Responsibilities\nDevelop governed data solutions supporting upstream, midstream, or oilfield services use cases such as drilling, production, well performance, equipment reliability, maintenance, HSE, logistics, and cost management.\nIntegrate and contextualize time-series, telemetry, sensor, and transactional data while maintaining assets, well, field, basin, customer, and equipment hierarchies.\nPartner with operations and engineering teams to improve data quality, timeliness, traceability, and availability for field and corporate decision-making.\nDesign for remote-site connectivity constraints, intermittent data transmission, high-volume telemetry, operational continuity, and recovery requirements.\nApply awareness of relevant industry data standards and regulatory, records-management, cybersecurity, and audit obligations.\nRequired Qualifications\nBachelor’s degree in computer science, information systems, engineering, data science, or related discipline, or equivalent practical experience.\nEight or more years of progressive experience in data engineering, analytics platforms, database administration, or cloud data solutions, including at least three years in a technical lead or solution architecture capacity.\nProduction experience with Microsoft Fabric and OneLake, including Lakehouse, Warehouse, Data Factory capabilities, notebooks, security, monitoring, and workload administration.\nStrong Azure Databricks experience with Delta Lake, Spark, SQL, Python or PySpark, job orchestration, performance tuning, and workspace administration.\nHands-on experience implementing and administering Unity Catalog, including access controls, lineage, external locations, credential patterns, and governance operating models.\nAdvanced SQL Server and Azure SQL database administration experience, including high availability, disaster recovery, backup and restore, security, patching, performance diagnostics, and query tuning.\nStrong knowledge of dimensional modeling, data lakehouse patterns, metadata management, master and reference data, data quality, and data lifecycle management.\nExperience with Azure identity, networking, Key Vault, private endpoints, monitoring, and cloud security controls.\nExperience with Git-based development, automated testing, CI/CD, and infrastructure-as-code tools.\nDemonstrated experience delivering data solutions in the oil and gas industry and working with operational and engineering stakeholders.\nStrong written, verbal, facilitation, and technical documentation skills.\nPreferred Qualifications\nMicrosoft certifications related to Fabric, Azure Data Engineering, Azure Database Administration, or Azure Solutions Architecture.\nDatabricks Data Engineer, Data Analyst, or platform administration certification.\nExperience with Power BI semantic models, Direct Lake, data gateways, row-level security, and enterprise reporting governance.\nExperience with Purview, data cataloging, lineage, classification, and data loss prevention capabilities.\nFamiliarity with operational technology data, SCADA, historians, IoT platforms, and common oil and gas applications or data exchange standards.\nExperience leading platform migrations, legacy modernization, cloud cost management, vendor engagement, and managed service delivery.\nLeadership Competencies\nLeads through technical credibility, sound judgment, accountability, and a strong service mindset.\nBalances strategic architecture with pragmatic, hands-on delivery.\nCreates clear standards while enabling teams to deliver with appropriate autonomy.\nExplains complex technical concepts, risks, and trade-offs in business terms.\nBuilds productive partnerships across data, applications, infrastructure, cybersecurity, operations, engineering, and business teams.\nCoaches team members, develops reusable practices, and promotes continuous learning.\nMeasures of Success\nReliable, secure, scalable, and cost-effective operation of Fabric, OneLake, Databricks, Unity Catalog, and SQL platforms.\nImproved platform availability, pipeline success rates, recovery readiness, query performance, and incident resolution times.\nConsistent adoption of architecture, engineering, security, governance, and DevOps standards.\nFaster delivery of trusted data products with measurable improvements in data quality, lineage, and user adoption.\nEffective knowledge transfer, team capability growth, and reduced dependency on individual subject-matter experts.\nWork Environment\nThis role may require collaboration across multiple time zones, participation in an on-call or escalation rotation, and occasional travel to office, data center, operational, or field locations. The successful candidate must be able to work effectively with both corporate technology teams and field-based operational stakeholders.\nThe pay range for this role is $125k - $135k 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":9071,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":3,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Information Technology","Professional Services","Information Security","Systems Integrators"],"lifecycle":[{"event":"open","at":"2026-10-30T04:32:55Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 768 · green card filings: 5","filings_12m":768,"filings_prev_12m":1320,"green_card_filings_12m":5,"median_offered_wage_usd":112500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+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":30}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":6,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-10-30T05:48:23Z"},"pay":{"stated_usd_annual":135000,"is_top_pay":false},"html_url":"https://alion.io/job/tech-mahindra-tech-lead-with-microsoft-fabric-databricks","json_url":"https://alion.io/job/tech-mahindra-tech-lead-with-microsoft-fabric-databricks.json","meta":{"generated_at":"2026-10-31T02:39:24Z","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":3703,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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":5484},"rest":"https://alion.io/mcp/rest/get_company?id=5484"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftech-mahindra-tech-lead-with-microsoft-fabric-databricks"},{"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%2Ftech-mahindra-tech-lead-with-microsoft-fabric-databricks"},{"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%2Ftech-mahindra-tech-lead-with-microsoft-fabric-databricks"},{"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-tech-lead-with-microsoft-fabric-databricks\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftech-mahindra-tech-lead-with-microsoft-fabric-databricks"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3503254}},{"tool":"search_jobs","arguments":{"company":"techmahindra.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3503254},"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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