Avp - Data Engineering

We are looking for an AVP/Senior Manager - Data Engineering to join our growing multidisciplinary team and this
position will be reporting to the SVP – Software Engineering and Enterprise Architecture. This is a hands-on
position and will be focused on building out the data engineering organization, as well as developing and
executing on the roadmap towards our target architecture.
Qualifications
 B.S. in Computer Science or Computer Engineering
Snowflake experience is a must
 6-10 years of development experience in data engineering
 5 years of experience managing a technical team (team lead, manager)
 Experience in insurance is highly desired
Advantages
Collaborate
You will be working collaboratively with many areas within Actuarial, Underwriting,
Marketing, Finance, Customer Service, and Data Science.
Responsibilities
Build the Team
In this role, you will be responsible for recruiting, developing and retaining top data engineering talent.
We are looking for a leader to help fill out the team to help on the journey from our existing platforms
to our target architecture.
Develop and Execute on the Roadmap
You will lead and deliver on technical strategy and guide your team pragmatically through technology
decisions. You will set data standards and ensure that all systems contain complete, accurate and
detailed data. It will be important for the data engineering team to be experts in the data structure of
both raw and processed datasets within our estate. There will be a specific focus on:
 Data model re-engineering including consolidation of superfluous systems
 Master data management
 Data governance and retention
 Life cycle of data from ingestion to consumption
 Modernizing the data platforms – you will help us select the toolset
Qualifications
Qualifications
 B.S. in Computer Science or Computer Engineering
Snowflake experience is a must
 6-10 years of development experience in data engineering
 5 years of experience managing a technical team (team lead, manager)
 Experience in insurance is highly desired
Summary
We are looking for an AVP/Senior Manager - Data Engineering to join our growing multidisciplinary team and this
position will be reporting to the VP – Software Engineering and Enterprise Architecture. This is a hands-on
position and will be focused on building out the data engineering organization, as well as developing and
executing on the roadmap towards our target architecture.
Qualifications
 B.S. in Computer Science or Computer Engineering
Snowflake experience is a must
 6-10 years of development experience in data engineering
 5 years of experience managing a technical team (team lead, manager)
 Experience in insurance is highly desired
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to [email protected] to ensure their ability to fully participate in the interview process.