2 months ago
Sydney, AustraliaSenior
Responsibilities
- Architect and implement production-grade integrations and distributed data systems for enterprise customers.
- Modernize legacy ETL/ELT workflows into autonomous data pipelines across AWS, Azure, GCP, and Kubernetes.
- Integrate OpenAI and Anthropic APIs and use AI code-generation tools to accelerate delivery.
- Own technical solutions from kickoff through production within an 8–12 week Accelerator window.
- Manage technical problem-solving, customer communications, executive alignment, and temporary commercial support where needed.
Requirements
- Demonstrable experience building production-grade software with strong Python, SQL, and API development skills or equivalent.
- Hands-on data engineering experience with ETL/ELT tools, including experience as a Data Engineer, DBA, or similar.
- Strong understanding of data architecture and data structures, including redesigning customer data environments during migrations.
- Ability to work across technical delivery, customer communication, and commercial support.
- Track record of completing migration and deployment outcomes within defined timelines while working directly with customer stakeholders.
Benefits
- Flexible working culture supporting work-life balance.
- Company equity.
- 30 days of holiday plus bank holidays.
- Five days of paid volunteering leave.
- Access to mental health support.
Categories
Solutions Engineering
About Matillion
Matillion builds cloud data integration and transformation software for data and analytics teams, delivered as a SaaS platform. Its products create no‑code/low‑code pipelines to load and transform data for warehouses and lakehouses such as Snowflake, Amazon Redshift, Google BigQuery, and Databricks. Founded in 2011 and headquartered in Salford, Manchester, the privately held company recently introduced Maia, an AI-driven data automation platform for building and maintaining data products.