{"id":3721501,"url":"https://alion.io/job/hcltech-senior-technical-specialist-173","title":"Senior Technical Specialist","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Sales","role_family":"Sales","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kolkata, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Collibra","optional":false},{"name":"Databricks","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Rest API","optional":true},{"name":"SOAP","optional":true}],"status":"live","first_seen_at":"2026-11-04T02:48:48Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-10T03:34:02Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Job Summary\nBayer AG, Enterprise Data & Analytics, is seeking a highly experienced Data Catalog Engineering and Architecture professional to support data governance by shaping the enterprise data catalog - currently implemented on Collibra - across Bayer Functions and Divisions. The requestor is Philip Windmueller, Data and AI Stewardship, Bayer AG.\nThe ideal candidate combines strong Collibra platform expertise with data engineering capabilities and is able to transform data governance concepts, requirements, and architectural blueprints into reliable, production-ready data catalog solutions. The individual is expected to work effectively within Bayer's existing architectural framework, collaborate closely with Data Stewards and the governance organization, validate proposed approaches, and contribute hands-on to successful implementation and operationalization.\nThis is not a consulting or advisory role - we are looking for an engineer who can actively design, validate, build, and deliver within Bayer's Collibra ecosystem.\nKey Responsibilities\nSolution Design, Validation & Implementation\nParticipate in the design of enterprise-scale data catalog solutions and capabilities.\nChallenge and validate technical concepts, assumptions, and implementation approaches.\nTranslate architectural blueprints into practical and scalable Collibra-based implementations.\nDrive solution realization from initial concept through production deployment.\nIdentify implementation risks, technical constraints, and optimization opportunities early in the delivery process.\nEnsure solutions are aligned with established architecture standards and Bayer's governance guardrails.\nConvert business and governance requirements into maintainable, production-ready data catalog solutions.\nWhat Good Looks Like: Equally comfortable discussing governance architecture concepts, validating Collibra solution approaches, and implementing them through API configurations, pipelines, workflows, and deployment activities.\nData Catalog Capability Delivery\nManage Data Domains, Concepts, and Data Products within the Collibra catalog.\nConfigure and maintain Data Ownership structures and stewardship workflows.\nImplement and manage Reference Data within Collibra.\nDesign and operate Data Quality management capabilities within the catalog.\nBuild maintainable and reusable data governance assets and implementation patterns.\nEstablish monitoring, operational controls, and support processes for catalog capabilities.\nContribute to data catalog standards and reusable implementation patterns across the enterprise.\nEnterprise Data Engineering\nDesign, develop, test, deploy, and operate enterprise-grade data solutions supporting catalog use cases.\nImplement secure, scalable, and auditable data pipelines and metadata ingestion workflows.\nBuild integrations between Collibra and data platforms (Databricks, Azure Storage, Unity Catalog).\nOptimize performance, quality, reliability, security, and cost efficiency of delivered solutions.\nEnsure solutions can be successfully transitioned into long-term operations.\nBusiness & Governance Partnership\nUnderstand Bayer's data governance framework, processes, and stewardship model.\nCollaborate with Data Governors, Data Stewards, Architects, and Engineers.\nEvaluate solution alternatives and support technical decision making.\nContribute to the definition of governance capabilities, services, and catalog integrations.\nDrive pragmatic solutioning while balancing governance needs, architecture principles, and technical constraints.\nCommunicate effectively across technical and non-technical audiences including senior data stewards.\nWhat Good Looks Like: Bridges the gap between data governance requirements and technical implementation - translating stewardship needs into working Collibra configurations and integrations.\nMulti-Team & Multi-Vendor Delivery\nOperate effectively within complex organizational environments.\nCollaborate with global delivery teams, internal Bayer organizations, and external service providers.\nIntegrate seamlessly into existing team structures and ways of working.\nWork constructively within governance and architectural guardrails provided by Bayer Data Stewardship.\nPartner effectively with peers across Functions, Divisions, ED&A, and external vendors.\nDevOps & Operational Excellence\nWork within Agile and DevOps delivery models.\nUtilize Azure DevOps for planning, backlog management, sprint execution, and delivery coordination.\nParticipate actively in implementation, testing, deployment, and operational handover activities.\nSupport CI/CD, monitoring, troubleshooting, and continuous improvement.\nEnsure solutions are supportable, maintainable, and operationally sustainable.\nSkill Requirements\nMust Have\n\nCollibra API & Concepts - Core platform - Collibra configuration, workflow design, API integration, data domain and stewardship model implementation. Hands-on engineering experience is mandatory.\n\nDatabricks - Data platform integration with Collibra - pipelines, metadata ingestion, and catalog connectivity.\n\nSQL - Data querying, transformation, and metadata management across relational and analytical platforms.\n\nPython - Pipeline development, metadata automation, and Collibra API scripting. Production-grade experience required.\n\nGit / GitHub - Source control, branching strategy, code review, and version management within team delivery.\nGood to Have\n\nUnity Catalog - Databricks-native governance layer - integration with Collibra for lineage, access control, and metadata management.\n\nAzure Storage Services - ADLS / Azure Blob for data layer; familiarity with Azure Key Vault and storage security patterns.\n\nREST / SOAP APIs - Integration of Collibra with external systems - data ingestion, lineage federation, and governance automation.\n\nMonitoring & Observability Tooling - Operational monitoring of catalog workflows, data quality metrics, and pipeline health.\nOther Requirements\nSoft Skills & Personal Attributes\nExcellent spoken and written Business English.\nAbility to communicate effectively with technical and non-technical stakeholders, including senior Data Stewards.\nComfortable working in multinational, distributed, and multi-vendor teams.\nAnalytically structured, delivery-oriented, and pragmatic in decision making.\nAble to build trusted working relationships quickly across organizational and vendor boundaries.\nOpen to challenge and constructive feedback; comfortable in complex and ambiguous environments.\nExperience & Seniority Requirements\nSenior or Expert-level Collibra experience - proven in enterprise-scale data governance programmes.\nProven track record implementing Collibra data catalog capabilities end-to-end.\nExperience integrating Collibra with modern data platforms (Databricks, Azure, Unity Catalog preferred).\nStrong understanding of enterprise data governance, stewardship, and metadata management.\nExperience working within governed enterprise environments with audit and compliance requirements.\nExperience collaborating closely with Data Governors, Stewards, and cross-functional delivery teams.\nDemonstrated success operating in multinational and multi-vendor organizations.\nAbility to rapidly integrate into existing teams and contribute value with minimal ramp-up.\nSuccess Criteria\nThe selected candidate can independently:\nDesign and implement enterprise-grade Collibra data catalog capabilities.\nTranslate governance requirements into working, production-ready solutions.\nManage Data Domains, Data Ownership, Reference Data, and Data Quality within Collibra.\nBuild and maintain integrations between Collibra and Bayer's data platforms.\nDeliver secure, compliant, and auditable catalog solutions.\nCollaborate effectively with Data Stewards, Architects, and Engineering teams.\nSupport operational sustainability and long-term maintainability of delivered capabilities.","description_format":"text","description_chars":7890,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate 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