Data Solution Designer

13 hours ago

Sydney, New South Wales, Australia XPT Software Australia Full time $120,000 - $180,000 per year

Role Overview
We are seeking an experienced Data Solution Designer to design and implement scalable, secure, and high-performing data solutions for our financial services client. The ideal candidate will have strong expertise in Data Warehousing, Data Lakes, and modern data platforms such as Databricks, with a proven ability to translate complex business requirements into robust technical architectures.

Key Responsibilities

  • Design end-to-end data architecture and solutions aligned with business and regulatory needs in the financial domain.
  • Develop and optimize Data Lake and Data Warehouse solutions to support analytics, reporting, and data science use cases.
  • Collaborate with stakeholders, data engineers, and analysts to define data models, ETL/ELT pipelines, and data governance frameworks.
  • Leverage Databricks and cloud platforms (Azure/AWS/GCP) for scalable data processing, integration, and analytics.
  • Ensure compliance with financial data security, privacy, and regulatory requirements.
  • Define data standards, architecture principles, and best practices across data platforms.
  • Conduct performance tuning, capacity planning, and solution reviews to ensure efficiency and scalability.

Required Skills And Experience

  • 8+ years of experience in data architecture, solution design, or data engineering roles.
  • Strong hands-on experience with Data Warehousing (e.g., Snowflake, Synapse, Redshift, BigQuery) and Data Lake technologies.
  • Proficiency with Databricks, Spark, and distributed data processing frameworks.
  • Deep understanding of ETL/ELT design, data modeling (Dimensional/Relational), and data governance.
  • Experience working in financial services, banking, or insurance domains with knowledge of data security and compliance.
  • Strong understanding of cloud-native data architectures.
  • Excellent communication and documentation skills to interact with technical and business stakeholders.

Preferred Qualifications

  • Experience with data cataloging, metadata management, or data lineage tools.
  • Knowledge of Python, SQL, and CI/CD for data pipelines.
  • Certification in Azure Data Engineer / Databricks / AWS Data Analytics or equivalent.

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