Senior/Lead Data Architect

high tech business school • Australia
Remote
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AI Summary

High Tech Business School is seeking a Senior/Lead Data Architect to design and lead data ecosystems. The ideal candidate will combine technical expertise, strategic thinking, and business alignment to build scalable, secure, and high-performance data solutions. This role requires 7+ years of experience in data engineering/data architecture roles.

Key Highlights
Design and implement scalable data architecture
Lead the development of ETL/ELT pipelines and data integration processes
Collaborate with engineering, analytics, and business teams to align data strategy
Key Responsibilities
Design and implement scalable data architecture
Define data models, standards, and governance frameworks
Lead the development of ETL/ELT pipelines and data integration processes
Collaborate with engineering, analytics, and business teams to align data strategy
Optimize data systems for performance, scalability, and cost-efficiency
Ensure data security, compliance, and best practices
Evaluate and implement modern data technologies and tools
Mentor data engineers and guide technical decision-making
Technical Skills Required
Cloud: AWS/Azure/GCP Data Warehousing: Snowflake, BigQuery, Redshift Processing: Spark, Airflow Databases: SQL/NoSQL BI Tools: Power BI, Tableau
Benefits & Perks
Fully remote role with high flexibility
Opportunity to define and own the data architecture roadmap
Work on scalable, high-impact data platforms

Job Description


🎉 We’re Hiring: Data Architect

📍 Location: Australia (Remote)

đź•’ Employment Type: Full-Time

đź’Ľ Level: Senior / Lead (7+ years)

We are looking for an experienced Data Architect to design and lead our data ecosystem. This role is ideal for someone who can combine technical expertise, strategic thinking, and business alignment to build scalable, secure, and high-performance data solutions.

🎯 What You’ll Do
  • Design and implement scalable data architecture (data lakes, data warehouses, pipelines)
  • Define data models, standards, and governance frameworks
  • Lead the development of ETL/ELT pipelines and data integration processes
  • Architect solutions across structured and unstructured data sources
  • Collaborate with engineering, analytics, and business teams to align data strategy
  • Optimize data systems for performance, scalability, and cost-efficiency
  • Ensure data security, compliance, and best practices
  • Evaluate and implement modern data technologies and tools
  • Mentor data engineers and guide technical decision-making
đź§± Tech Environment (Example)
  • Cloud: AWS / Azure / GCP
  • Data Warehousing: Snowflake, BigQuery, Redshift
  • Processing: Spark, Airflow
  • Databases: SQL / NoSQL
  • BI Tools: Power BI, Tableau
✅ What We’re Looking For
  • 7+ years of experience in data engineering / data architecture roles
  • Proven experience designing large-scale data platforms
  • Strong knowledge of data modeling (OLAP, OLTP, dimensional modeling)
  • Experience with cloud-based data architectures
  • Hands-on experience with ETL/ELT tools and pipeline design
  • Strong SQL and data processing skills
  • Understanding of data governance, security, and compliance
  • Ability to translate business needs into technical architecture
  • Strong leadership and stakeholder management skills
  • Based in Australia with full working rights
🌟 Why Join Us
  • Fully remote role with high flexibility
  • Opportunity to define and own the data architecture roadmap
  • Work on scalable, high-impact data platforms
  • Collaborate with cross-functional global teams
  • Clear path into Head of Data / Principal Architect roles 



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