Technical Lead - Data Engineering (HR Data Platform)New
About the Role
You'll lead the technical design and delivery of an HR data platform for one of Australia's largest universities. This is a high-impact leadership role building a Snowflake-on-AWS data pipeline that will serve HR analytics and business intelligence across the entire organisation.
You're not coding in isolation. You're architecting systems, mentoring engineers and shaping how the university manages and uses HR data for years to come.
What You'll Do
Day-to-Day:
Design the data architecture for HR analytics - deciding what gets extracted, how it's modeled, where it lives and who can access it
Lead the heavy pipeline work - building and optimising ETL/ELT processes on Snowflake that ingest data from HR systems and prepare it for analytics
Mentor 4 Data Engineers - helping them level up, unblocking technical problems and making sure work ships on time and to standard
Set governance & quality standards - deciding how we tag data, control access, handle sensitive information and keep data clean
Work with business & tech leadership - translating HR team needs into technical roadmaps and flagging risks/trade-offs early
Key Responsibilities
Lead data platform design for HR (Phase 1 already scoped; Phase 2+ to follow)
Own ETL/ELT pipeline development using Snowflake and Talend
Build and guide a team of 4 Data Engineers with different specialisms (data modeling, pipeline build x2, governance/security)
Embed data governance from day one - lineage, metadata, access control, data quality




Manage stakeholder relationships with HR teams to understand requirements and priorities
Lead DevOps and CI/CD for data pipeline deployments
Maintain platform reliability - keeping systems running, identifying issues and fixing them fast
What We're Looking For
Must-Haves
5+ years building and shipping data platforms (ETL, ELT, data warehousing) - ideally with Snowflake or contemporary cloud data stack
Proven team leadership - you've mentored or led 2–3+ engineers through delivery; you know how to unblock people and raise capability
Data governance and quality mindset - you care about lineage, metadata, data quality, and access control, not just 'building pipes'
Strong technical depth in at least one: Snowflake, Redshift, BigQuery, or equivalent modern data warehouse
Ability to communicate clearly across technical and non-technical audiences
Nice‐to‐Haves
Snowflake on AWS experience
Talend or Collibra (metadata/governance tools)
ETL tool experience (Informatica, DataStax, custom)
HR or Workday data experience
Experience in university or higher education settings
What Else You Should Know
Frameworks are already in place - you're not building from scratch; you're extending proven patterns
This is a governance‐first culture - data security and quality matter as much as velocity
Team independence is key - we want you to build engineers who don't need you for every decision by month 2
Extension is likely - Phase 1 is 6 months, but the program runs to ****; strong candidates often transition into Phase 2+ roles
Hybrid flexibility - We trust you to manage your time; 2–3 days on campus is the expectation, not the ceiling
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📌 Technical Lead - Data Engineering (Hr Data Platform)Just Posted! (New South Wales)
🏢 Bluefin Resources
📍 New South Wales