Senior Data Engineer

ACCENTURE PTE LTD; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

ACCENTURE PTE LTD is seeking a Senior Data Engineer to lead data platform initiatives for enterprise clients in Singapore. You will architect large-scale data solutions across Cloudera, Teradata, Snowflake, and Databricks, mentor a team of engineers, and guide data strategy and delivery for major accounts.

You will own governance of data quality, lineage, and security in regulated environments, while translating business requirements into technical roadmaps and ensuring high-quality outcomes for

Qualifications

• 8+ years in data engineering, with 3+ years in a leadership/architect role.
• Banking or regulated data environment experience with AML/KYC, data lineage and audit trails.
• Proficient with Cloudera/Teradata and Snowflake/Databricks in production.
• Strong communication skills, comfortable presenting to C-suite and non-technical stakeholders.

Responsibilities

• Lead data platform architecture & design for enterprise data lakes and warehouses.
• Mentor 3-5 engineers; drive code reviews, design decisions and capability building.
• Govern data quality, lineage, and governance frameworks for regulated environments.
• Own client relationships; advise on data modernization strategies and translate business requirements into technical roadmaps.
• Monitor costs, performance and security across cloud platforms.
• Drive innovation by evaluating new tools and sharing knowledge across teams.

Skills

Data modeling

Leadership

Stakeholder comms

Regulatory compliance

Problem solving

Tools

Cloudera

Teradata

Snowflake

Databricks

Apache Spark

Delta Lake

Iceberg

Collibra

Alation

Job description

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