{"id":1697918,"url":"https://alion.io/job/tangspac-consulting-vp-lead-data-engineer-big-data","title":"VP - Lead Data Engineer (Big Data)","company":{"id":3802168,"name":"Tangspac Consulting","domain":"tangspac.com","url":"https://alion.io/company/tangspac-consulting","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":15000,"max":20000,"currency":"SGD","period":"month","gross":true,"usd_annual":187500},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Iceberg","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"NLP","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-10-02T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-10-02T00:00:00Z","board_verified":false,"closed_at":null,"days_open":20,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":20},"description":"A Financial Instutition is seeking an experienced Lead Data Engineer to lead the bank's strategic data engineering initiatives and drive the evolution of our enterprise data ecosystem.\nThis role will be responsible for building and governing modern enterprise data platforms that support regulatory reporting, risk management, commercial banking analytics, operational intelligence, and AI-enabled insights. The successful candidate will lead the design and delivery of scalable data solutions for both structured and unstructured data while ensuring compliance with banking regulations and data governance standards.\nKey Responsibilities\nEnterprise Data Platform Strategy & Engineering\nLead the architecture, design, and implementation of enterprise-scale data platforms supporting banking, regulatory, and analytical workloads.\nDefine the bank's target-state data platform architecture leveraging technologies such as:DatabricksSnowflakeMicrosoft FabricGoogle BigQuery\nDrive adoption of modern Lakehouse architectures utilizing:Apache IcebergDelta LakeApache Hudi\nEstablish engineering standards for scalability, availability, security, observability, and resilience.\nOptimize performance, cost, and operational efficiency across enterprise data estates.\nUnstructured Data & NLP-Enabled AnalyticsLead initiatives to unlock business value from unstructured data sources including documents, customer interactions, regulatory publications, policies, and operational records.\nDesign NLP-enabled data pipelines that support:Document classificationKnowledge extractionText analyticsSemantic searchAutomated summarizationRegulatory intelligence\nEstablish end-to-end frameworks covering data ingestion, preprocessing, model evaluation, explainability, and operational deployment.\nEnsure AI-generated outputs are traceable, auditable, and suitable for regulatory scrutiny.\nEstablish robust controls for:Data qualityData reconciliationData validationData certification\nImplement metadata management, lineage, and impact analysis capabilities.\nDrive the governance and management of Critical Data Elements (CDEs) across business domains.\nExperience12+ years of experience in enterprise data engineering, analytics, and data platform delivery.\nSignificant leadership experience within banking, financial services, or other highly regulated industries.\nProven track record delivering enterprise-scale data transformation and modernization initiatives.\nTechnical Expertise with Strong hands-on experience with:\nDatabricks, Snowflake\nApache Spark, Iceberg, Delta Lake, Apache Hudi\nTrino / Presto\nHive\nSQL\nBTEQ\nWorking knowledge of:\nPandas\nNumPy\nInterested candidates please email your latest resume to \nSkills\nText Analytics and Processing, Apache Spark, Scalability, Technology Expertise, Modern Architecture, Operational Data Store (ODS), Apache POI, Data Migration Services, Banking Experience, managing workload, Data Engineering, Snowflake Computing, Enterprise IT Strategy, Hive, Data Infrastructure, business 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