We 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.
Key Responsibilities Lead 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
Architect data platforms — design enterprise data lakes, warehouse schemas, and ETL frameworks for mission-critical banking and financial systems
Manage technical teams — mentor 3–5 data engineers and modelers; drive code reviews, design decisions, and capability building
Govern data quality & security — design metadata management, data lineage, and governance frameworks for regulated financial environments
Own client relationships — advise on data modernization strategies, translate business requirements into technical roadmaps aligned with banking standards
Optimize platform operations — monitor costs, performance, and security across cloud platforms (Snowflake, Databricks, Cloudera, Teradata)
Drive innovation — evaluate new tools, establish best practices, share knowledge across teams
Required Qualifications Advanced 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 knowledge
Snowflake OR Databricks — production deployment, tuning, governance
8+ years in data engineering/data modeling, with 3+ years in a leadership/architect role in financial services
Proven experience managing and mentoring teams
Banking or highly regulated financial data environment experience — deep familiarity with compliance (AML/KYC), regulatory reporting, data lineage, audit trails
Strong communication skills — comfortable presenting to C-suite, business stakeholders, and technical teams
Recommended Skills Hands-on expertise with both FSLDM/FIBO AND BIAN standards in production environments
Experience with both Cloudera/Teradata AND Snowflake/Databricks
Advanced data governance — Collibra, Alation, or custom metadata frameworks
Data modeling tools — Erwin, PowerDesigner, or cloud-native modeling tools
Banking domain knowledge: PSD2, GDPR, Basel III, BCBS 239 data requirements
Hands-on work with Apache Spark, Delta Lake, Iceberg
Cloud cost optimization and FinOps
What We’re Looking For Strategic thinker — sees beyond individual projects to platform-wide implications and banking standards alignment
Banking domain expert — understands financial products, processes, and regulatory requirements
Mentor & leader — enjoys developing talent and setting technical direction
Problem solver — navigates ambiguity in complex financial data environments
Standards advocate — champions FSLDM/FIBO/BIAN adoption; helps teams understand “why” behind the model
About Accenture
Accenture 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…