Technical Lead – Databricks, Data Engineering & Data Modeling in Toronto

Technical Lead – Databricks, Data Engineering & Data Modeling in Toronto

Toronto Full-Time 75 - 75 $ / hour (est.) On-site
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At a Glance

  • Tasks: Lead innovative data engineering projects using Databricks and Unity Catalog.
  • Company: Join a top financial client in a dynamic tech environment.
  • Benefits: Competitive pay, flexible work options, and growth opportunities.
  • Other info: Diverse workplace that values all backgrounds and promotes career advancement.
  • Why this job: Make an impact by driving cutting-edge data solutions and leading a talented team.
  • Qualifications: Experience with Databricks, Python, and strong leadership skills required.

The predicted salary is between 75 - 75 $ per hour.

Are you a seasoned data engineering professional ready to lead cutting-edge projects? Working with one of our top financial clients, this role calls for a Technical Lead – Databricks, Data Engineering & Data Modeling. The position is focused on spearheading data engineering initiatives within a global asset management technology team. The role involves a mix of technical leadership, hands-on development, and strategic design to support ongoing Unity Catalog development, data modeling, and orchestration efforts.

Pay rate range (CAD): $75.00/hr – $80.00/hr

Responsibilities:

  • Lead the design, development, and implementation of data solutions using Databricks and Unity Catalog.
  • Enforce coding standards and conduct rigorous code reviews to ensure high-quality deliverables.
  • Provide technical guidance and leadership to a team of data developers and engineers.
  • Translate complex business requirements into scalable technical solutions and data models.
  • Support the development and modernization of Unity Catalog and related data frameworks.
  • Drive the design of gold tables and ensure data structures align with business needs.
  • Collaborate with cross-functional teams on CI/CD pipeline development, orchestration, and automation.
  • Participate actively in technical discussions, solution design, and architecture reviews.
  • Balance hands-on development with strategic leadership to ensure project success.

Desired Skill-Set:

  • Extensive experience with Databricks and Unity Catalog.
  • Strong expertise in data engineering and data modeling.
  • Proficiency in Python and data orchestration with ADF.
  • Experience with CI/CD pipelines and coding standards.
  • Proven track record in technical leadership and solution design.
  • Ability to translate business needs into effective data solutions.
  • Knowledge of software development frameworks and best practices in data environments.

Nice to Have:

  • Experience with dependency frameworks and alerting systems.
  • Familiarity with advanced data monitoring and automation tools.

BeachHead is an equal opportunity agency and employer. We advocate for our candidates and welcome applicants regardless of race, color, religion, national origin, sex, age, or physical or mental disability.

This job posting represents a current or anticipated vacancy. The position may be filled at any time, and the posting may be removed without notice once the role has been filled.

Technical Lead – Databricks, Data Engineering & Data Modeling in Toronto employer: BeachHead Inc.

At BeachHead, we pride ourselves on fostering a dynamic and inclusive work environment that empowers our employees to thrive. As a Senior Swaps Business Analyst, you will have the opportunity to collaborate with top-tier professionals in the financial sector, driving innovation in electronic trading and enhancing trading workflows. Our commitment to employee growth is reflected in our supportive culture, where continuous learning and development are encouraged, making us an exceptional employer for those seeking meaningful and rewarding careers in the heart of capital markets.

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Contact Details:

BeachHead Inc. Recruitment Team

We think you need these skills to ace Technical Lead – Databricks, Data Engineering & Data Modeling in Toronto

Databricks
Unity Catalog
Data Engineering
Data Modeling
Python
Data Orchestration with ADF
CI/CD Pipelines