Chief Data Architect

7 days ago

Sydney, New South Wales, Australia INGRITY Full time
Job Description

We are seeking an experienced Chief Data Architect to join our team in Sydney, Australia.

About the Role:

The ideal candidate will have a strong background in data modeling and analytics, with expertise in Snowflake and Power BI. You will work closely with our team members and clients across various levels to deliver data assets that align with strategic goals.

Key Responsibilities:
  • Design, develop, and optimize data models for analytical and reporting purposes using Snowflake.
  • Build interactive dashboards and reports using Power BI to visualize complex datasets.
  • Provide technical subject matter expertise to support the design and implementation of a modern data platform in collaboration with Data & Analytics and broader Strategic Delivery stakeholders.
  • Create logical and physical data models to support business reporting and dashboards, using both structured and unstructured data sources.
  • Structure data optimally for reporting purposes, employing techniques like normalization for relational models or denormalization for data warehouses (e.g., star schema, snowflake schema).
  • Define and implement data transformation logic, preparing raw data into usable forms for reporting, including aggregations, calculations, and time-series formatting.
  • Collaborate with stakeholders to understand business requirements and translate them into scalable data solutions.
  • Ensure data integrity and compliance with data governance policies.
  • Optimize data model performance and resolve pipeline issues.
Your Technical Skills and Experience:

To succeed in this role, you should have:

  • Experience: 5+ years of proven expertise in data modeling with strong proficiency in Snowflake and Power BI.
  • Data Models: Skilled in designing logical and physical data models for reporting purposes.
  • Database Design: Proficient in database design principles such as normalization, denormalization, star and snowflake schemas, entity-relationship modelling, and reference data management.
  • Technical Expertise: Hands-on experience with SQL and efficient database structure design. Familiarity with cloud platforms like Azure or AWS is a plus.
  • Data Warehousing: Strong understanding of data warehousing concepts, dimensional modelling, and ETL pipelines.
  • Data Solutions: Proven ability to design and implement large-scale data solutions for loading, manipulation, processing, analysis, and exploration.
  • Problem-Solving: Demonstrated initiative and problem-solving skills, with innovative approaches to data management that ensure accurate and timely outputs.
  • Master Data Management: Solid understanding of master data management principles and processes.
  • Interpersonal Skills: Strong interpersonal skills with the ability to build relationships, consult, negotiate, liaise, and influence stakeholders. Able to provide strategic advice and recommendations to internal and external teams.
What We Offer:

We offer a competitive salary of $120,000 - $150,000 per annum, depending on experience, plus excellent benefits and opportunities for professional growth and development.

We are an equal opportunities employer and welcome applications from diverse candidates. If you are passionate about data and analytics, and want to be part of a dynamic team, please submit your resume and cover letter.

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