Senior Data Engineer

Accenture Pte Ltd; Região Norte; Presencial; BRL 240 000 - 360 000; Tempo integral

Resumo da oferta

Accenture Pte Ltd seeks a Senior Data Engineer to lead data platform initiatives for enterprise clients. You will architect scalable data lakes, warehouses, and ETL frameworks, while governing data quality and security in regulated environments.

You will mentor 3–5 engineers, own data strategy for major accounts, translate business requirements into technical roadmaps, and optimize operations across Snowflake, Databricks, and Cloudera. This role blends technical leadership with client advisory.

Qualificações

• Advanced proficiency in Data Modeling for complex schemas (dimensional, normalized, data vault) and deep knowledge of Cloudera or Teradata.
• 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, including AML/KYC, data lineage, audit trails.
• Strong communication skills, able to present to C-suite and non-technical stakeholders.

Responsabilidades

• Lead data platform architecture and design for enterprise data lakes, warehouses, and ETL frameworks.
• Manage technical teams; mentor 3–5 engineers and drive code reviews and design decisions.
• Govern data quality and security with metadata management and governance frameworks for regulated environments.
• Own client relationships; advise on data modernization strategies and translate business requirements into roadmaps.
• Optimize platform operations by monitoring costs, performance, and security across Snowflake, Databricks, and Cloudera.
• Drive innovation by evaluating new tools and sharing knowledge across teams.

Conhecimentos

Data modeling

Leadership / mentoring

Data governance

Stakeholder communication

Strategic thinking

Ferramentas

Cloudera

Teradata

Snowflake

Databricks

Apache Spark

Delta Lake

Descrição da oferta de emprego

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