Technical Lead - Data Engineering (HR Data Platform)NewAbout the RoleYou'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 DoDay-to-Day:Design the data architecture for HR analytics - deciding what gets extracted, how it's modeled, where it lives and who can access itLead the heavy pipeline work - building and optimising ETL/ELT processes on Snowflake that ingest data from HR systems and prepare it for analyticsMentor 4 Data Engineers - helping them level up, unblocking technical problems and making sure work ships on time and to standardSet governance & quality standards - deciding how we tag data, control access, handle sensitive information and keep data cleanWork with business & tech leadership - translating HR team needs into technical roadmaps and flagging risks/trade-offs earlyKey ResponsibilitiesLead data platform design for HR (Phase 1 already scoped; Phase 2+ to follow)Own ETL/ELT pipeline development using Snowflake and TalendBuild 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 qualityManage stakeholder relationships with HR teams to understand requirements and prioritiesLead DevOps and CI/CD for data pipeline deploymentsMaintain platform reliability - keeping systems running, identifying issues and fixing them fastWhat We're Looking ForMust-Haves5+ years building and shipping data platforms (ETL, ELT, data warehousing) - ideally with Snowflake or modern cloud data stackProven team leadership - you've mentored or led 2–3+ engineers through delivery; you know how to unblock people and raise capabilityData 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 up-to-date data warehouseAbility to communicate clearly across technical and non-technical audiencesNice‐to‐HavesSnowflake on AWS experienceTalend or Collibra (metadata/governance tools)ETL tool experience (Informatica, DataStax, custom)HR or Workday data experienceExperience in university or higher education settingsWhat Else You Should KnowFrameworks are already in place - you're not building from scratch; you're extending proven patternsThis is a governance‐first culture - data security and quality matter as much as velocityTeam independence is key - we want you to build engineers who don't need you for every decision by month 2Extension is likely - Phase 1 is 6 months, but the program runs to ****; strong candidates often transition into Phase 2+ rolesHybrid 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