Data Engineering Director

2 months ago


Old Toronto, Ontario, Canada Project Limited Full time
About Project X

Project X Ltd. is a forward-thinking organization that excels in building high-performing teams of talented professionals who thrive in a client-focused environment. We foster a culture that celebrates innovation, collaboration, and growth, recognizing and rewarding hard work and forward-thinking.

Our team members are trusted advisors to our clients, providing innovative solutions to complex data problems. We prioritize long-term relationships with our clients, staying true to our values and delivering exceptional results. When expanding our team, we seek individuals who share our values and are passionate about building a supportive and inclusive culture.

We believe that our people are our greatest asset, and we invest in their growth and development. Our team members are encouraged to take on challenges, learn new skills, and contribute to the success of the organization.

Role Summary

The Director, Data Engineering is a key member of our Technical Delivery team, collaborating with clients and internal stakeholders to deliver innovative solutions and successful outcomes. This role requires a subject matter expert in data engineering, providing technical guidance and leadership to team members. The successful candidate will have the opportunity to manage a team while continuing to be hands-on, reporting to the Vice President, Delivery.

Key Responsibilities
  1. Be the trusted subject matter expert for all data engineering needs at Project X, working with team members to define project scope, requirements, and deliverables.
  2. Manage a team of data engineers, including developing, mentoring, and retaining talented project consultants, and assisting with project delivery and management.
  3. Design and build data ingestion and transformation pipelines, leveraging classic and modern tools, managing technical risk, and promoting best practices.
  4. Establish standard design patterns and data flow documents for enterprise data warehousing solutions.
  5. Communicate effectively with stakeholders, including senior management, to provide project updates and ensure goals are achieved.
  6. Collaborate with data science and analytics teams to understand data needs and build systems to support their work.
  7. Manage project timelines, ensuring projects are delivered on time, and ensuring high-quality and reliable work products.
  8. Contribute to R&D initiatives, exploring new approaches to improve work efforts.
  9. Collaborate with Talent Acquisition teams to interview and select new staff based on competencies and culture fit.
  10. Collaborate with sales teams to review and approve approaches, proposal content, and project plans.
Requirements
  1. 5+ years of experience as a Data Engineer, building data pipelines and warehouses, with experience in programming languages like Python, SQL, and frameworks like Spark.
  2. 2+ years of demonstrated experience working with major cloud platforms such as AWS, Azure, or GCP, and experience with cloud migration.
  3. 2+ years of experience leading a team of Data Engineers, including performance management, mentoring/coaching, and hiring.
  4. Solid experience with data integration, building and implementing ETL solutions.
  5. Familiarity with modern data engineering languages and platforms, such as Databricks or Snowflake.
  6. Degree in Engineering fields or related industry experience or acumen.
Nice to Have
  1. Specialized training or certification in one or more of the technologies/skills listed is an asset.
  2. Previous consulting experience.

Project X Ltd. is an equal opportunity employer, committed to promoting fair and equitable treatment of all employees and applicants. We provide equal employment opportunities for all individuals, regardless of age, sex, disability, race, ethnic origin, citizenship, creed, sexual orientation, marital status, or any other ground as described in the Ontario Human Rights Code. Accommodation is available on request for candidates taking part in all aspects of the selection process.



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