Data Engineering Lead

Resolution Life; Sydney; On-site; AUD 130,000 - 150,000; Full time

Benefits offered by this job

Career pathways & mobility opportunities

Leading learning platforms

Health and wellbeing programs

Job summary

A leading insurance company in Sydney is seeking a Data Engineering Lead to develop and maintain data solutions across their enterprise platforms. The ideal candidate will have deep experience in Data Operations and SQL, with a strong understanding of cloud platforms and data governance. This role offers the opportunity to lead cross-functional teams and contribute to impactful solution designs, all within a flexible and supportive work environment.

Qualifications

• Professional experience in crafting data solutions in enterprise settings.
• Ability to design batch, near-real-time, and real-time data pipelines.
• In-depth knowledge of data governance frameworks.

Responsibilities

• Design and deliver robust data solutions across enterprise platforms.
• Create and maintain data pipeline mechanisms.
• Lead and mentor engineering and DevOps teams.

Skills

Deep experience in Data Operations

Advanced SQL skills

Data architecture knowledge

Knowledge of cloud platforms

RDBMS/OLAP systems experience

Leadership of cross-functional teams

Tools

SQL Server

Snowflake

Informatica PowerCenter

DataStage

Control-M

Autosys

Job description

Join to apply for the Data Engineering Lead role at Resolution Life

Resolution Life Australasia is one of the leading life insurers in Australia and New Zealand, with ~1 million customers and managing approximately A$30 billion in assets. We are a fully enterprise agile organisation that supports professional growth and rewards contribution, while fostering an inclusive, collaborative and flexible working environment.

The Role

We are seeking a technically strong and hands-on Data Engineering Lead to join our Data Operations team. This role is pivotal in designing, delivering, and maintaining robust data solutions that support operational excellence across our enterprise platforms. The role focuses on end-to-end engineering and maintenance of data pipelines and frameworks, ensuring alignment with architectural standards, governance policies, and business needs. The role also provides technical leadership and mentorship to engineering and DevOps teams, while actively contributing to solution design and delivery.

Key Responsibilities

• Build fit-for-purpose data solutions aligned with enterprise architecture and governance
• Develop batch, near-real-time, and real-time pipelines using ELT/ETL tools (IICS, Informatica PowerCenter, DataStage)
• Define patterns for data ingestion, observability, and consumption
• Maintain technical data lineage across systems and platforms
• Create complex SQL queries, data models (3NF, Kimball, Data Vault), and orchestration frameworks (Control-M, Autosys)
• Work with stakeholders on solution design, cost-benefit analysis, and roadmap planning
• Support metadata management, glossary alignment, and compliance reporting

What you bring

• Deep experience in Data Operations within large-scale enterprise environments
• Advanced skills in SQL, data architecture, and warehousing design (including SCD)
• Strong knowledge of cloud platforms and RDBMS/OLAP systems (Snowflake, Oracle, SQL Server)
• Familiarity with data governance frameworks and regulatory compliance
• Proven ability to lead cross-functional teams and influence technical direction

Why Join Us?

We provide a flexible work environment and a range of employee benefits to support you personally and professionally, including:

• Career pathways, including local and global mobility opportunities
• Leading learning platforms and support in professional development
• Health and wellbeing programs

Accessibility and Checks

Before commencing employment in this role, you will need to provide two references, confirm full working rights, and complete police and credit checks through an online provider. As an equal opportunity employer, we are committed to a diverse and inclusive workforce and will support any accessibility requirements throughout the interview process. Please contact our Talent Team for assistance.

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Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Insurance