{"id":3716116,"url":"https://alion.io/job/gsk-senior-principal-engineer-data","title":"Senior Principal Engineer– Data","company":{"id":6649,"name":"GSK","domain":"gsk.com","url":"https://alion.io/company/gsk","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":87,"open_postings":62,"ghost_share":0,"stale_share":0.694,"repost_share":0.016,"time_to_fill_p50_days":16,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Backend","role_family":"Backend","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":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentforce","optional":false},{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apex","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Configuration Management","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Devin","optional":false},{"name":"Function Calling","optional":false},{"name":"GDPR","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"HIPAA","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"ServiceNow","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false},{"name":"Vault","optional":false},{"name":"Knowledge Graph","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-11-04T00:50:06Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-08T02:47:00Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Job Purpose:\nWe are seeking a highly skilled Senior Principal Engineer - Data Engineering, AI & Healthcare Analytics to architect and lead enterprise-scale data lake platforms at GSK. This is a hands-on technical architect role at the intersection of Azure cloud data engineering, metadata-driven intelligence, AI/ML frameworks, agentic AI systems, and healthcare domain expertise. You will design and own end-to-end ingestion, quality, and observability frameworks, infuse autonomous AI agents into data pipelines, and partner with clinical, commercial, and research stakeholders to deliver measurable value from GSK’s healthcare data assets.\n\nKey Responsibilities:\nAzure Data Engineering & Platform:\nLead the design and delivery of scalable Azure Services, Databricks, and enterprise Data Lakehouse solutions supporting patient, commercial, and healthcare data.\nDesign resilient batch, incremental, CDC, API, file-based, and real-time pipelines using ADF, Databricks, ADLS, Key Vault, Delta Lake, Apache Iceberg , Unity Catalog, Event Hubs, and Azure integration services.\nProvide end-to-end technical leadership for bidirectional integrations between Salesforce PMP (Patient Management Services) and Data Lake, covering data extraction, transformation, synchronization, reconciliation, schema evolution, error handling, and downstream consumption.\nProvide hands-on technical expertise across the Salesforce ecosystem, including Apex, SOQL, REST/Bulk APIs, authentication, integration patterns, and API development to enable secure and scalable Salesforce PMP integrations.\nDefine scalable Salesforce integration patterns using Salesforce APIs, Bulk API, platform events, incremental processing, and API throttling controls.\nDrive Databricks performance engineering through Spark optimization, cluster and job sizing, Photon, caching, file compaction, data layout optimization, and workload monitoring.\nImplement secure access patterns using Unity Catalog, Microsoft Entra ID groups, RBAC, managed identities, service principals, Key Vault, encryption, column masking, and row-level controls.\nDrive Infrastructure-as-Code and automated deployments using Terraform/Bicep, Databricks Asset Bundles, GitHub Actions or Azure DevOps, and environment-specific configuration management.\nEnterprise Data Engineering Capabilities:\nDesign and drive metadata-driven enterprise capabilities for data ingestion, validation, monitoring, and automation.\nEstablish reusable, configuration-driven patterns that accelerate data onboarding and adoption across teams.\nLeverage AI/ML and LLM capabilities to enhance metadata management, anomaly detection, mapping, and automated data controls.\nEnable standardized data observability, quality monitoring, alerting, and operational controls.\nEnsure capabilities are scalable, reusable, governed, auditable, and compliant with enterprise standards.\nDrive adoption as shared enterprise capabilities, reducing duplicate engineering effort and improving consistency.\nAgentic AI Engineering & Integration:\nHands-on, day-to-day use of AI coding agents such as GitHub Copilot, Claude, Cursor, Devin, and Factory to accelerate engineering delivery.\nDesign and implement Agentic AI and RAG solutions using LangChain, LangGraph, LangSmith, MCP, and advanced Prompt Engineering techniques.\nBuild multi-agent orchestration workflows using LangGraph patterns such as supervisor-worker, specialized agents, tool calling, state management, and workflow coordination.\nDesign and integrate MCP servers to provide secure, governed access to enterprise tools, APIs, metadata, data platforms, and business services.\nDevelop RAG-based agent capabilities integrating enterprise data, metadata, vector stores, and governed knowledge sources.\nEngineer agents as containerized, API-enabled microservices, integrating them with enterprise cloud platforms and existing data engineering workflows.\nImplement agent observability, tracing, evaluation, testing, and monitoring using LangSmith and related enterprise observability capabilities.\nEstablish technical controls for agent security, authentication, authorization, human-in-the-loop, auditability, error handling, and responsible AI.\nHealthcare Domain Data Expertise:\nStrong understanding of patient and Patient Management Services data, including patient journeys, enrollment, access, services, and interactions.\nKnowledge of related clinical, commercial, market access, and real-world healthcare data domains.\nExperience integrating and governing patient data across Salesforce, Data Lake/Lakehouse, analytics, and downstream platforms.\nEnsure patient data solutions meet data quality, security, privacy, lineage, GxP, HIPAA, GDPR, and enterprise governance requirements.\nInnovation & Continuous Improvement:\nDrive technical innovation across the Data Lake and Salesforce PMP ecosystem using GenAI, Agentic AI, Conversational AI, and intelligent automation.\nDevelop AI agents for metadata discovery, impact analysis, schema mapping, data quality diagnostics, pipeline monitoring, failure remediation, and operational support.\nEvaluate and integrate emerging capabilities such as MCP, LangGraph, LangChain, RAG, vector databases, Salesforce Agentforce, and Databricks AI services.\nIdentify opportunities to modernize bidirectional Salesforce PMP and Data Lake integrations through event-driven processing, CDC, automated reconciliation, API orchestration, and near-real-time data synchronization.\nBuild reusable technical accelerators for Salesforce object onboarding, Apex/API integration, schema-change detection, automated testing, and deployment automation.\nConvert successful POCs into secure, governed, observable, and production-ready enterprise capabilities that can be reused across patient and commercial data teams.\nForward Deployed Engineering (FDE) & Solution Enablement:\nPartner directly with Patient Management Services, Salesforce, Data Lake, product, and engineering teams to translate complex patient-services requirements into production-ready technical solutions.\nLead rapid discovery and prototyping across Salesforce Apex, REST/Bulk APIs, SOQL, platform events, ADF, Databricks, Delta Lake, Unity Catalog, and downstream data products.\nDesign and validate end-to-end Salesforce PMP-to-Data Lake and Data Lake-to-PMP data flows, including authentication, orchestration, transformation, synchronization, and downstream consumption.\nResolve complex integration challenges involving API limits, high-volume processing, schema evolution, duplicate records, retries, idempotency, reconciliation, error handling, and data recovery.\nBuild technical prototypes and reference implementations for GenAI, RAG, multi-agent orchestration, MCP-based tool access, and AI-enabled patient-services use cases.\n Embed production controls covering security, consent and privacy, PHI/PII protection, data quality, observability, auditability, performance, and operational readiness.\nPerform end-to-end impact analysis for Salesforce PMP changes across objects, fields, Apex services, APIs, Data Lake pipelines, data models, extracts, reports, and downstream consumers.\nRequired skills:\n10+ years of data engineering/platform experience, including significant technical leadership at Senior/Principal Engineer level.\nDeep hands-on expertise across Azure, Databricks and enterprise Data Lakehouse platforms, including Spark/PySpark, Delta Lake, Apache Iceberg , streaming, Unity Catalog, ADF, ADLS, Key Vault, and Azure integration services.\nProven experience designing enterprise-scale, metadata-driven ingestion and engineering capabilities, including batch, incremental, CDC, API, real-time processing, data quality, observability, and automated controls.\nStrong hands-on knowledge of the Salesforce ecosystem, including Apex, SOQL, REST/Bulk APIs, authentication, integration patterns, and bidirectional Salesforce-to-Data Lake integrations.\nHands-on experience building GenAI and Agentic AI solutions using MCP, LangGraph, LangChain, RAG, Prompt Engineering, multi-agent orchestration, and related LLM technologies.\nDemonstrated day-to-day use of AI coding agents to accelerate and automate development, testing, code review, documentation, impact analysis, PR creation, and engineering workflows.\nStrong understanding of patient and healthcare data, with exposure to related clinical, commercial, market access, or real-world data domains.\nExperience with Infrastructure-as-Code, Git, CI/CD, automated testing, JIRA, ServiceNow, and modern DevOps practices.\nExcellent technical leadership and stakeholder management, with the ability to drive complex solutions across business, Salesforce, data, platform, architecture, security, and engineering teams.\nPreferred skills:\nAdvanced experience with Agentic AI architectures, including multi-agent orchestration, MCP servers, tool-enabled agents, RAG, agent observability/evaluation, and Responsible AI controls.\nExperience building reusable enterprise data and AI capabilities, accelerators, APIs, and engineering patterns that can be adopted across multiple teams.\nDeep understanding of patient, pharmaceutical, commercial, and real-world data models, privacy requirements, and governed data-product practices.\nExperience with MLOps and AI/ML lifecycle management, including model/agent evaluation, monitoring, deployment, and production operationalization.\nFamiliarity with semantic models, vector databases, knowledge graphs, data contracts, metadata management, and advanced enterprise integration patterns.\nDemonstrated ability to evaluate emerging technologies, lead technical POCs/FDE engagements, and convert successful solutions into scalable enterprise capabilities.\nSkills\nCustomer Feedback Management, Data Governance, Data Visualization, Generative AI, Platform Development, Product Development, Usability Testing, User Needs AnalysisWhy GSK?\nUniting science, technology and talent to get ahead of disease together.\nGSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale.\nPeople and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.\nInclusion at GSK:\nAs an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process.\nPlease contact our Recruitment Team at  to discuss your needs.\nImportant notice to Employment businesses/ Agencies\nGSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacan...","description_format":"text","description_chars":13007,"description_truncated":true,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription Drugs","Vaccines","Oncology Therapeutics","Infectious Disease Therapeutics"],"lifecycle":[{"event":"open","at":"2026-11-04T00:50:06Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":4,"expected_fill_days":16,"reasons":["conf:3","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-08T05:47:12Z"},"pay":null,"html_url":"https://alion.io/job/gsk-senior-principal-engineer-data","json_url":"https://alion.io/job/gsk-senior-principal-engineer-data.json","meta":{"generated_at":"2026-11-08T13:21:03Z","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":28333,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-09T00:00:00Z"}},"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":6649},"rest":"https://alion.io/mcp/rest/get_company?id=6649"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgsk-senior-principal-engineer-data"},{"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%2Fgsk-senior-principal-engineer-data"},{"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%2Fgsk-senior-principal-engineer-data"},{"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/gsk-senior-principal-engineer-data\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgsk-senior-principal-engineer-data"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3716116}},{"tool":"search_jobs","arguments":{"company":"gsk.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3716116},"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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