{"id":2897410,"url":"https://alion.io/job/nxp-semiconductors-lead-data-engineer-2","title":"Lead Data Engineer","company":{"id":17368,"name":"NXP Semiconductors","domain":"nxp.com","url":"https://alion.io/company/nxp","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":182,"ghost_share":0,"stale_share":0.929,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":35000,"max_usd":75000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Self-Healing","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-27T00:00:00Z","employer_posted_date":"2026-08-27","last_verified_at":"2026-10-21T12:32:22Z","board_verified":true,"closed_at":null,"days_open":55,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":55},"description":"Position Summary:\nWe are seeking an experienced Senior Data Engineer to drive the performance, governance, and AI-native maturity of our enterprise Data Platform in Databricks. This is a Databricks-focused Data Engineering role with a working understanding of DevOps practices - designing scalable pipelines, tuning workloads for performance and cost, and operationalizing modern data and AI capabilities on Lakehouse.\nThe ideal candidate has deep, hands-on Databricks expertise, a strong performance-engineering instinct, and a builder's mindset for AI-assisted operations. You'll own the Databricks performance and governance standards for the platform, mentor engineers, and shape the direction for AI-native operations.\nKey Responsibilities:\nDesign and develop scalable data pipelines and Lakehouse solutions on Databricks.\nTune Databricks workloads for performance and cost, including cluster sizing, query optimization, and Delta Lake table design.\nEstablish and enforce best practices for partitioning, clustering, and workload isolation.\nTrack performance trends, identify high-cost queries, and partner with source teams and end users to resolve long-running loads.\nDesign and operationalize Unity Catalog for data governance - access control, lineage, and security.\nBuild monitoring and self-healing automation using Databricks-native AI and agentic capabilities.\nDrive CI/CD workflows for Databricks assets, setting DevOps best practices for deployment and release management.\nLead design reviews and mentor Data Engineers on Databricks best practices and AI-native features.\nOwn Databricks vendor coordination - case management, escalations, and release adoption strategy.\nWhat Success Looks Like (First 6-12 Months)\nWithin 6-12 months, you'll define the platform's tuning and governance standards, lead design reviews, mentor junior engineers, and shape the AI-native operations roadmap.\nRequired Qualifications:\nBachelor's or Master's degree in Computer Science, Information Technology, or equivalent relevant experience.\n6+ years of data engineering experience with 2+ years hands-on Databricks in enterprise settings.\nDeep understanding of Databricks Lakehouse architecture, Delta Lake, Unity Catalog, and Workflow orchestration.\nProven ability to tune Spark workloads for cost and performance at production scale.\nAdvanced Python (PySpark) and SQL skills.\nWorking knowledge of CI/CD practices and DevOps principles applied to data workloads.\nExperience with observability tooling for Databricks.\nPreferred Qualifications:\nExperience with Databricks-native AI capabilities and agentic frameworks.\nFamiliarity with Databricks Serverless Compute and DBSQL performance tuning.\nA Databricks Certified Professional.\nExposure to Infrastructure-as-Code is a plus.\nCompetencies:\nPerformance-engineering mindset - measures, tunes, and re-measures.\nCuriosity for AI-native operations and continuous automation.\nStrong sense of platform ownership - quality, cost, and reliability.\nEffective communication with engineering peers, vendors, and business stakeholders.\nInfluence outcomes across source teams, vendors, and business stakeholders without direct authority.\n More information about NXP in India...\n#LI-7013","description_format":"text","description_chars":3219,"description_truncated":false,"requirements":{"experience_years_min":6,"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":["Processors, MCUs & AI Chips","RF & Wireless Hardware","Analog & Power Semiconductors"],"lifecycle":[{"event":"open","at":"2026-10-20T05:18:27Z"}],"visa":[],"liveness":{"score":21,"band":"cold","label":"Long shot","p_open":1,"p_active":0.485,"p_room":0.44,"age_days":55,"expected_fill_days":42,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-21T05:46:15Z"},"pay":null,"html_url":"https://alion.io/job/nxp-semiconductors-lead-data-engineer-2","json_url":"https://alion.io/job/nxp-semiconductors-lead-data-engineer-2.json","meta":{"generated_at":"2026-10-21T17:14:27Z","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":24277,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"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":17368},"rest":"https://alion.io/mcp/rest/get_company?id=17368"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnxp-semiconductors-lead-data-engineer-2"},{"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%2Fnxp-semiconductors-lead-data-engineer-2"},{"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%2Fnxp-semiconductors-lead-data-engineer-2"},{"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/nxp-semiconductors-lead-data-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnxp-semiconductors-lead-data-engineer-2"}]}