Job Description
Technical Lead - Data Engineering (HR Data Platform)
n
About the Role
n 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.
n 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.
n
What You'll Do
n
Day-to-Day:
n
n
Design the data architecture for HR analytics - deciding what gets extracted, how it's modeled, where it lives and who can access it
n
Lead the heavy pipeline work - building and optimising ETL/ELT processes on Snowflake that ingest data from HR systems and prepare it for analytics
n
Mentor 4 Data Engineers - helping them level up, unblocking technical problems and making sure work ships on time and to standard
n
Set governance & quality standards - deciding how we tag data, control access, handle sensitive information and keep data clean
n
Work with business & tech leadership - translating HR team needs into technical roadmaps and flagging risks/trade-offs early
n
n
Key Responsibilities
n
n
Lead data platform design for HR (Phase 1 already scoped; Phase 2+ to follow)
n
Own ETL/ELT pipeline development using Snowflake and Talend
n
Build and guide a team of 4 Data Engineers with different specialisms (data modeling, pipeline build x2, governance/security)
n
Embed data governance from day one - lineage, metadata, access control, data quality
n




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

📌 Technical Lead - Data Engineering (Hr Data Platform) (New South Wales)
🏢 Bluefin Resources
📍 New South Wales