Senior Data Engineer
About this job
About the Role
We are seeking a Senior Data Engineer to lead data platform initiatives across enterprise clients. You will architect and govern large-scale data solutions using cloud platforms (Cloudera, Teradata, Snowflake, Databricks), 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 data platform architecture & design — design enterprise data lakes, warehouse schemas, and ETL frameworks for mission-critical banking and financial systems
- Manage technical teams — mentor 3–5 engineers; drive code reviews, design decisions, and capability building
- Govern data quality & security — design metadata management, data lineage, and governance frameworks for regulated environments (banking)
- Own client relationships — advise on data modernization strategies, translate business requirements into technical roadmaps
- Optimize platform operations — monitor costs, performance, and security across cloud platforms (Snowflake, Databricks, Cloudera)
- Drive innovation — evaluate new tools, establish best practices, share knowledge across teams
Required Qualifications
- Advanced proficiency in: 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, with 3+ years in a leadership/architect role
- Proven experience managing and mentoring teams
- Banking or highly regulated data environment experience — familiarity with compliance (AML/KYC), data lineage, audit trails
- Strong communication skills — comfortable presenting to C-suite and non-technical stakeholders
Recommended Skills
- Experience with both Cloudera/Teradata AND Snowflake/Databricks
- Advanced data governance — Collibra, Alation, or custom frameworks
- Data modeling for banking — PSD2, GDPR, Basel III 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
- Mentor & leader — enjoys developing talent and setting technical direction
- Problem solver — navigates ambiguity in complex data environments
- Client-focused — translates technical concepts for diverse audiences
Market insight
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The employer lists $14,000 – $28,000 for this role at ACCENTURE PTE LTD in Singapore. For comparison, the local market median is about 4 800 $ based on 67 052 similar offers.
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