{"id":3901556,"url":"https://alion.io/job/accenture-data-engineer-data-modeler","title":"Data Engineer / Data Modeler","company":{"id":271,"name":"Accenture","domain":"accenture.com","url":"https://alion.io/company/accenture","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":2118,"ghost_share":0.001,"stale_share":0.166,"repost_share":0.006,"time_to_fill_p50_days":5,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","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":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Alation","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Collibra","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Erwin","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FinOps","optional":false},{"name":"GDPR","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"Teradata","optional":false}],"status":"live","first_seen_at":"2026-11-06T00:00:00Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-07T03:47:46Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About the Role\nWe are seeking a Senior Data Engineer / Data Modeler to lead data platform initiatives across enterprise financial services clients. You will architect and govern large-scale data solutions using cloud platforms (Cloudera, Teradata, Snowflake, Databricks), design complex banking data models aligned to industry standards (FSLDM, FIBO, BIAN), mentor a team of engineers, and drive adoption of modern data engineering practices. This role bridges technical leadership and client advisory - you’ll own data strategy for major accounts and be accountable for delivery and quality.\nKey Responsibilities\nLead banking data model design - design enterprise data models using FSLDM (Financial Services Logical Data Model), FIBO (Financial Industry Business Ontology), and BIAN (Banking Industry Architecture Network) standards; translate complex financial business concepts into normalized/dimensional schemas\nArchitect data platforms - design enterprise data lakes, warehouse schemas, and ETL frameworks for mission-critical banking and financial systems\nManage technical teams - mentor 3-5 data engineers and modelers; drive code reviews, design decisions, and capability building\nGovern data quality & security - design metadata management, data lineage, and governance frameworks for regulated financial environments\nOwn client relationships - advise on data modernization strategies, translate business requirements into technical roadmaps aligned with banking standards\n Optimize platform operations - monitor costs, performance, and security across cloud platforms (Snowflake, Databricks, Cloudera, Teradata)\nDrive innovation - evaluate new tools, establish best practices, share knowledge across teams\nRequired Qualifications\nAdvanced proficiency in: Banking Data Modeling - experience with FSLDM, FIBO, and/or BIAN frameworks; ability to design data models for banking use cases (payments, lending, deposits, risk, compliance) Data Modeling for complex schemas (dimensional, normalized, data vault)Cloudera OR Teradata - deep operational and architectural knowledgeSnowflake OR Databricks - production deployment, tuning, governance\n8+ years in data engineering/data modeling, with 3+ years in a leadership/architect role in financial services\nProven experience managing and mentoring teams\n Banking or highly regulated financial data environment experience - deep familiarity with compliance (AML/KYC), regulatory reporting, data lineage, audit trails\nStrong communication skills - comfortable presenting to C-suite, business stakeholders, and technical teams\nRecommended SkillsHands-on expertise with both FSLDM/FIBO AND BIAN standards in production environments\nExperience with both Cloudera/Teradata AND Snowflake/Databricks\nAdvanced data governance - Collibra, Alation, or custom metadata frameworks\nData modeling tools - Erwin, PowerDesigner, or cloud-native modeling tools\nBanking domain knowledge: PSD2, GDPR, Basel III, BCBS 239 data requirements\nHands-on work with Apache Spark, Delta Lake, Iceberg\nCloud cost optimization and FinOps\nWhat We’re Looking ForStrategic thinker - sees beyond individual projects to platform-wide implications and banking standards alignment\nBanking domain expert - understands financial products, processes, and regulatory requirements\nMentor & leader - enjoys developing talent and setting technical direction\nProblem solver - navigates ambiguity in complex financial data environments\nStandards advocate - champions FSLDM/FIBO/BIAN adoption; helps teams understand “why” behind the model\nAbout Accenture\nAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us atwww.accenture.com\nEqual Employment Opportunity Statement\nWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. 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