Data Lead

3 weeks ago

Sydney, New South Wales, Australia Airtree Ventures Full time

About Airtree Ventures

Airtree Ventures is a leading venture capital fund focused on the Australian and New Zealand markets. We have invested in some of the largest software companies to come out of the ANZ market to date and pride ourselves on being able to support exciting early stage companies with capital, expertise and data.

Job Summary

We are seeking a highly skilled Data Lead to join our team. As a Data Lead, you will be responsible for optimising and scaling our existing data infrastructure, driving data-informed decision making across our venture capital operations.

Key Responsibilities

  • Optimise and scale our existing Snowflake data warehouse, ensuring it continues to meet our growing data needs efficiently.
  • Enhance and maintain our ETL/ELT pipelines built with dbt and AWS lambda functions, focusing on improving performance, reliability, and extensibility.
  • Refine and expand our suite of AWS Lambda functions to support data processing and integration needs.
  • Collaborate with investment partners and investment managers to evolve our data-driven tools, continuously improving our ability to surface promising investment opportunities.
  • Lead the ongoing analysis and reporting of the Airtree portfolio companies, streamlining processes for more efficient, accurate and insightful quarterly reporting.
  • Iterate on Airtree's existing dashboards and insight packs (built with Streamlit), ensuring they continue to provide actionable insights as Airtree's needs evolve.
  • Proactively identify areas for improvement in our data models and infrastructure, implementing best practices and leveraging emerging technologies where appropriate.
  • Champion data-driven decision-making across the organisation, helping stakeholders leverage our data assets more effectively.

Requirements

We are looking for a highly skilled and experienced Data Lead who is passionate about solving problems in eloquent and efficient ways. You should thrive in fast-paced environments and be excited by the prospect of enhancing processes through data and automation. Above all, you are curious and obsess about 'why' things work the way they do.

We have a strong preference for candidates with proficient programming skills, particularly in Python, and advanced SQL knowledge (or a demonstrated ability to pick up new programming languages quickly). In addition, you may also have:

  • Hands-on experience with or a strong interest in learning Snowflake, dbt, and AWS Lambda, with a focus on optimisation and scaling.
  • An understanding of financial and investment concepts or a strong desire to deepen your knowledge of the VC industry.
  • A track record of refining data models to balance performance, scalability, and usability in growing data environments.
  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • A talent for identifying bottlenecks in existing data systems and implementing effective solutions.
  • A proactive approach to problem-solving and a commitment to continuous learning and improvement.

What We Offer

We offer a range of benefits, including a flexible work environment, 5 weeks of leave, 16 weeks paid parental leave, a supportive return-to-work policy, an annual budget for your training & self-development, and a range of health and wellness benefits.

How to Apply

Please apply by submitting your resume and a cover letter outlining your experience and qualifications for the role. We look forward to hearing from you.

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