Data Architect

3 weeks ago

Sydney, New South Wales, Australia Minfy Full time
Overview

Role Summary: We are seeking a Part-Time Data Architect to design, oversee, and guide the implementation of scalable, secure, and efficient data architectures for enterprise-grade digital transformation projects. This role will support active initiatives in data platforms, AI/ML, GenAI, and application modernization, ensuring data systems are optimized for analytics, governance, and AI-readiness.

Responsibilities
  • Design robust, cloud-native data architectures (data lakes, data warehouses, real-time pipelines) aligned with client business needs.
  • Provide architectural oversight on data projects, including modern data stack solutions (e.g., Snowflake, Redshift, BigQuery, Databricks).
  • Collaborate with delivery teams to align architecture with ongoing AI/ML and GenAI initiatives.
  • Define data modeling standards, governance policies, and data quality frameworks.
  • Consult on selection and integration of data tools, APIs, storage solutions, and metadata management.
  • Guide development teams on best practices for scalable ETL/ELT, data ingestion, and transformation using modern tools (e.g., AWS Glue, Kafka, DBT, Spark).
  • Support pre-sales and proposal development for large-scale data transformation projects.
  • Review and optimize existing data infrastructure for performance, cost, and scalability.
  • Collaborate with cloud architects, ML engineers, and project managers on integrated solution delivery.
Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Engineering, or related discipline.
  • 8+ years of experience in data architecture, with hands-on experience in cloud-based data platforms (preferably AWS).
  • Expertise in data modeling, warehousing, and real-time/streaming architectures.
  • Strong understanding of data governance, security, and compliance (e.g., GDPR, HIPAA).
  • Experience supporting AI/ML pipelines or integrating with ML/GenAI models.
  • Proficient with tools like Redshift, Snowflake, Glue, Airflow, Kafka, Spark, and SQL/NoSQL databases.
  • Excellent communication skills, with the ability to translate technical concepts for business stakeholders.
Preferred Skills
  • AWS Certifications: Data Analytics Specialty, Solutions Architect Associate/Pro.
  • Familiarity with modern MLOps and GenAI frameworks.
  • Prior experience with public sector or regulated industry clients.
  • Experience in agile project environments and cross-functional collaboration.
Engagement Model

Estimated time commitment: 15–25 hours/week (flexible)

Remote-friendly, with occasional client or team syncs

Initial 6-month engagement, with potential extension or conversion based on project need

Seniority level
  • Mid-Senior level
Employment type
  • Part-time
Job function
  • Information Technology and Engineering
Industries
  • IT Services and IT Consulting and IT System Data Services

Location: Sydney, New South Wales, Australia. Remote-friendly.

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