Data Engineering Tech Lead
1 week ago
Vanguard, a leader in investment management, seeks an experienced Data Engineering Tech Lead to spearhead the development of a metadata-driven data lakehouse solution on AWS. This role is critical to driving Vanguard's growth, client satisfaction, and crew success.
Key Responsibilities- Collaborate with engineers and tech leads to design, build, and deploy a cloud-based data lakehouse solution for international teams across Vanguard.
- Support data quality and governance processes by writing maintainable, well-documented, and resilient code.
- Work closely with the wider Data & Analytics team in Australia, Europe, and the US to ensure accessible and timely data.
- Monitor, test, and report on current data lake processes and work with the product owner to prioritize correction or migration to the new lakehouse.
- Contribute to the learning and development of existing crew members by providing knowledge share sessions.
- Support leadership and management of Data Engineering and Analytics Office teams.
- Strong experience working in cloud-based engineering teams, preferably using AWS.
- Experience leading teams, prioritizing effort, and focusing strategically and tactically.
- Experience working across multiple time zones or interest in doing so.
- Solid understanding of dimensional modeling, with Data Vault experience a bonus.
- Thorough understanding of Python and SQL for data exploration and transformation, ideally within Spark environments.
- Strong written and oral communication skills, including presentation skills.
- Strong analysis and analytical skills with attention to detail in complex systems and datasets.
- Solid understanding of version control systems, specifically Git.
- Experience working in Data & Analytics teams with Data Engineers, Analysts, Scientists on on-premises or cloud-based environments.
- Experience with SaaS products, CRM, and ERP systems, and working with data in different formats.
- Good understanding of lean and Agile principles, including Shift left, DevOps, CloudOps, DataOps, CI/CD, and SRE mindset.
- Experience working in complex data environments, including ETL processes/data integration frameworks.
- A self-starter comfortable with ambiguity and demonstrable learning agility.
- Experience with Data Visualization tools (Tableau preferred) or business teams who used visualization tools.
The salary range is estimated based on industry standards and location considerations. The actual salary may vary depending on individual qualifications and experience.
Location: Melbourne, AustraliaVanguard has implemented a hybrid working model, offering flexibility while enabling in-person learning, collaboration, and connection.
Inclusion StatementVanguard is committed to diversity and inclusion, guided by the principle of 'doing the right thing.' We empower our crew to contribute their strengths, building diverse and effective teams.
We believe that when all crew members feel valued and included, our ability to collaborate and innovate is amplified, united in delivering on Vanguard's core purpose.
Core PurposeTo take a stand for all investors, treat them fairly, and give them the best chance for investment success.
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