Building Next-Generation Data Architectures

1 week ago

Sydney, New South Wales, Australia beBeeData Full time $180,000 - $200,000

**Job Title:** Principal Data Engineer

Prezzee is embarking on a major transformation of our data platform, seeking a skilled professional to lead the development of our next-generation architecture.

Key Responsibilities:
  • Architect and Build Our Foundational Data Platform: Design and implement a robust Medallion architecture on Databricks, leveraging Delta Lake for reliability and performance.
  • Establish Data Ingestion Frameworks: Create reusable, scalable patterns for ingesting data from various sources, including transactional databases and third-party APIs.
  • Define Data Modelling Standards: Lead the evaluation and implementation of core data modelling paradigms, ensuring curated data sets are intuitive for analytics and reporting.
  • Implement Governance and Security: Establish a comprehensive data governance framework using Unity Catalog, including fine-grained access controls and data lineage tracking.
Maintain a Culture of Engineering Excellence:
  • Implement CI/CD for Data: Build and champion automated CI/CD pipelines to test and deploy all data assets, including dbt models and infrastructure changes.
  • Champion Git-Based Workflows: Embed a Git-first culture for all data transformation code, establishing clear processes for branching, code reviews, and version control.
  • Build a Data Quality Firewall: Implement automated data quality testing at every stage of pipelines using tools like dbt test or Great Expectations.
  • Introduce Observability: Set up comprehensive monitoring, logging, and alerting for all data pipelines to proactively detect, diagnose, and resolve issues.
Lead, Mentor, and Grow Our Technical Capability:
  • Mentor and Upskill Analysts: Actively mentor data analysts through pair programming and technical guidance.
  • Establish a Community of Practice: Foster a 'data guild' to share knowledge, discuss new technologies, and collaboratively solve problems.
  • Shape the Future Team: Partner with the Head of Data to define the career progression framework for data engineering.

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