Senior Data Engineer
Senior Data Engineer at ShyftLabs designs and builds enterprise-scale data platforms for Fortune 500 clients using Databricks, Spark, Python, and cloud platforms, while leading teams and client engagements.
- Compensation
- CA$140K–CA$180K / yr
- Location
- Toronto, Ontario
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Nice to have
- Databricks Certified Professional Data Engineer certification.
- Experience with Delta Live Tables, MLflow, Unity Catalog, and Databricks SQL.
- Experience with Kafka, Kinesis, Event Hubs, or other streaming technologies.
- Hands-on experience with Snowflake, dbt, Airflow, or modern data orchestration tools.
- Experience with Kubernetes, Docker, and Terraform.
- Knowledge of AI/ML data platforms, Feature Stores, or Retrieval-Augmented Generation (RAG) architectures.
- Previous consulting or professional services experience delivering solutions for enterprise clients.
- Experience within retail, e-commerce, financial services, logistics, healthcare, or ad-tech environments.
Full description
About ShyftLabs
At ShyftLabs, we live and breathe data. Since 2020, we've been helping Fortune 500 companies unlock growth with cutting-edge digital solutions that transform industries and create measurable business impact. We're growing fast, and we're looking for passionate technical leaders who are excited to solve complex data challenges, build modern cloud platforms, and deliver innovative solutions for enterprise clients.
The Opportunity
ShyftLabs is seeking an experienced Senior / Lead Data Engineer to lead the design, architecture, and delivery of enterprise-scale data platforms for Fortune 500 organizations. This is a highly client-facing leadership role responsible for owning projects from discovery through production deployment. You'll partner directly with client stakeholders to understand business objectives, define technical strategy, architect scalable cloud solutions, and lead engineering teams through successful delivery. The ideal candidate combines deep hands-on expertise with Databricks, Apache Spark, Python, SQL, and modern cloud platforms with proven experience leading complex data modernization initiatives. You'll play a key role in shaping technical direction, mentoring engineers, establishing engineering best practices, and delivering scalable data products that enable analytics, AI, and machine learning.
What You'll Be Doing
Technical Leadership
- Lead the architecture, design, and implementation of enterprise-scale data platforms from project inception through production deployment.
- Own technical delivery across multiple client engagements while ensuring high-quality engineering standards.
- Define solution architecture, technical roadmaps, and implementation strategies aligned with client business goals.
- Conduct architecture reviews, code reviews, and establish engineering best practices across project teams.
- Mentor and coach Data Engineers while fostering technical excellence and continuous learning.
- Serve as the primary technical leader for complex engineering initiatives and critical project decisions.
Client Partnership
- Partner directly with Fortune 500 clients to understand business requirements and translate them into scalable technical solutions.
- Lead discovery workshops, architecture sessions, and technical planning meetings with both business and engineering stakeholders.
- Present solution designs, delivery plans, and architectural recommendations to technical leadership and executive audiences.
- Build trusted relationships with client teams while providing technical guidance throughout project execution.
- Support pre-sales activities by contributing technical expertise, solution estimates, and implementation approaches when required.