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Lead, Data Engineer

Vantage Compute · Mississauga, Canada · Posted 8d ago

onsiteFull-timeleadEstimated 118k-227k USD🇨🇦 Canada
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About the role

Lead design and delivery of scalable data engineering solutions for Vantage Compute's Decision Intelligence organization.

Vantage Compute is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at Vantage Compute matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. Summary The Lead Data Engineer is a senior individual contributor within Vantage Compute’s Decision Intelligence organization, responsible for leading the design, delivery, and operationalization of scalable data engineering and analytics solutions across the PSaS Business Unit. This role serves as a technical leader and player‑coach, combining deep hands‑on engineering with solution leadership, mentorship, and cross‑functional influence. What You’ll Do Lead end‑to‑end technical delivery for complex data engineering initiatives or domains. Serve as a senior technical point of contact for data engineering within cross‑functional squads. Design and build scalable, reliable batch and real‑time data pipelines across internal and external systems. Lead solution design and influence architectural decisions in collaboration with Data Architects and enterprise teams. Define and uphold engineering standards, patterns, and best practices aligned with enterprise data strategy. Mentor and guide data engineers through design reviews, code reviews, and technical coaching. Ensure quality, reliability, performance, and long‑term maintainability of data products. Partner with Product Managers, Data Scientists, Analysts, and business stakeholders to translate analytical requirements into scalable solutions. Drive an automation‑first and reusability‑focused mindset across data engineering solutions. Oversee testing strategies, production readiness, observability, and operational stability of data pipelines. Proactively identify technical debt and lead remediation efforts. Enable advanced analytics and ML use cases through optimized data models and pipelines. Communicate technical designs, tradeoffs, risks, and outcomes clearly to stakeholders. What You Bring Recognized expertise in data engineering and analytics within large, enterprise environments. Strong ability to independently lead complex technical initiatives with minimal oversight. Proven experience influencing technical direction and mentoring other engineers without formal people‑management responsibility. Deep understanding of data architecture, ETL/ELT patterns, and large‑scale data processing. Strong stakeholder communication and collaboration skills. Technical Skills Advanced proficiency in SQL, Python, and scripting . Strong hands‑on experience with: Databricks, Snowflake, Azure Data Factory Confluent Kafka / Azure Event Hub PySpark and analytical SQL Power BI and/or Tableau Apache Airflow, dbt, Alation Strong understanding of data modeling, metadata, lineage, and data quality practices. Experience with cloud platforms (SaaS, PaaS, IaaS). Experience implementing automation and Infrastructure as Code (IaC). Ability to support advanced analytics and ML enablement (non‑pure DS focus). Minimum Requirements Degree or equivalent and typically requires 10+ years of relevant experience. Preferable Skills & Experience Experience leading enterprise‑scale or BU‑wide data initiatives. Exposure to real‑time, event‑driven data architectures. Familiarity with data governance programs and stewardship responsibilities. Experience experimenting with emerging data and AI technologies. Background in highly regulated or complex business environments. We are proud to offer a competitive compensation package at Vantage Compute as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with Vantage Compute's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at Vantage Compute, please click here. Our Base Pay Range for this position $122,100 - $162,800 Vantage Compute has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by Vantage Compute are using Vantage Compute’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: Vantage Compute Talent Advisors will never solicit money or credit card information in connection with a Vantage Compute job application. Vantage Compute Talent Advisors do not communicate with candidat

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FAQ

Is the Lead, Data Engineer role at Vantage Compute remote?+

This Lead, Data Engineer position is listed as onsite (Mississauga, Canada).

What is the salary for the Lead, Data Engineer role at Vantage Compute?+

The listing states Estimated 118k-227k USD.

What seniority level is this Lead, Data Engineer role?+

This is a lead level position.

How do I apply for the Lead, Data Engineer role at Vantage Compute?+

Use the "Apply on themuse" button to open the original posting on themuse, where you can submit your application directly to Vantage Compute.