Senior Data Engineer
AvivaMarkhamIndividually we are people, but together we are Aviva.Individually these are just words, but together they are our Values – Care, Commitment, Community, and Confidence.At Aviva Canada, we put peopl... Show more
Data • markham on
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Individually we are people, but together we are Aviva. Individually these are just words, but together they are our Values – Care, Commitment, Community, and Confidence.
At Aviva Canada, we put people first, our employees, our customers, and our communities. We’re proud of a culture built on care, inclusion, and collaboration, where your voice matters and your growth is supported. We’re not just about insurance; we’re about making a real difference by protecting what matters most.
Aviva Canada is looking for a Senior Data Engineer to support our enterprise data modernization journey. You’ll use your expertise across modern and legacy platforms to build robust data pipelines and systems that power analytics and AI initiatives. In this role, you will contribute to the design and implementation of data solutions that support our growing business and next-generation Snowflake platform. This role offers the opportunity to make a meaningful impact while working within a collaborative, forward-thinking team.
What you'll do
Technical Leadership: Define and drive the data engineering strategy, standards, and guidelines across the organization.
Solution Design: Develop high-level and low-level solution architectures, ensuring alignment with business and technical goals.
Data Pipeline Development: Lead the design and implementation of high-performance data pipelines using tools like dbt Core/Cloud, ensuring scalability and maintainability.
Code Ownership: Write and maintain clean, reusable code in SQL, Python, Shell, and Terraform.
Quality & Governance: Champion data quality, governance, and cataloging practices; create and review test plans to validate data solutions.
Issue Resolution: Perform root cause analysis and implement effective solutions for complex data issues.
Agile Delivery: Lead agile ceremonies, foster a delivery-focused mindset, and ensure timely execution of data initiatives.
Mentorship: Guide and mentor Data Engineers and project team members, elevating team capabilities and engineering excellence.
Collaboration: Work closely with architects, designers, QA engineers, and delivery teams to ensure cohesive and customer-centric data products.
Documentation: Produce and maintain comprehensive technical documentation to support implementation and knowledge sharing.
Talent Development: Contribute to hiring by designing technical challenges, conducting interviews, and supporting onboarding.
What you'll bring
8+ years of professional experience delivering over 10 high-impact data projects from inception through warranty.
2- 5 years of Snowflake, dbtCore/Cloud, and AWS Cloud Technologies.
5+ years of experience with coding in multiple programming languages such as Python, Java, etc.
Technical Expertise: Deep knowledge of relational databases (Snowflake, PostgreSQL, Amazon Aurora), big data platforms (Hadoop), and NoSQL databases (e.g., MongoDB).
Data Visualization Proficiency: Skilled in tools such as Snowsight, Streamlit, Qlik, and SAP BusinessObjects to communicate insights effectively.
Advanced Coding Skills: Expert-level proficiency in SQL, Python, Shell, and Terraform, with a strong focus on performance, reusability, and maintainability.
Presentation & Communication: Strong technical and business presentation skills; able to identify and address gaps in data designs and processes with both internal and external stakeholders.
Pipeline & Orchestration Tools: Hands-on experience with orchestration tools like Zena and AWS Managed Airflow.
Resilience & Adaptability: Proven ability to thrive in fast-paced, ambiguous, and high-pressure environments.
Customer-Centric Mindset: Passion for solving real-world problems using data-driven insights to deliver impactful business outcomes.
Collaborative Approach: Strong interpersonal and communication skills, with the ability to lead teams and influence cross-functional stakeholders.
Domain Knowledge: Familiarity with insurance industry processes and systems is a strong asset.
AI/ML & GenAI Exposure: Experience in operationalizing AI/ML & GenAI models is a plus.
Any of the following certifications are an asset:
SnowPRO Core
SnowPRO Advanced Data Engineer (DEA-C01, DEA-C02)
SnowPro® Advanced: Architect (ARA-C01)
dbt Developer
AWS Cloud Practitioner
What you’ll get
The salary band for this position ranges from $115,000 to $140,000. Please note that individual salary is determined by factors such as job-related knowledge, skills and experience, as well as internal equity.
Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.
Outstanding Career Development opportunities.
We’ll support your professional development education.
Competitive vacation package with the option to purchase 5 extra days off per year.
Employee driven programs focused on gender, LGBTQ+, origins, diversity, and inclusion.
Corporate wellness programs to support our employees’ physical and mental health.
Hybrid flexible work model.
This job advertisement is for an existing vacancy which has been posted both internally & externally.
Aviva Canada may use AI (Artificial Intelligence) tools to assist us throughout the recruitment process to screen, assess or select applicants for a position.
Aviva Canada welcomes applications from all qualified individuals and has a process in place to provide accommodations for persons with disabilities at all stages of the hiring process and during employment. If you require an accommodation during the interview or hiring process, please contact your Aviva Talent Acquisition Partner so that an appropriate accommodation can be arranged.
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