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Director, Data Science Engineering
2 months ago
Project X Ltd. is a leading organization that excels in building high-performing teams of talented professionals who are passionate about solving complex data problems. Our team members are trusted advisors to our clients, providing innovative solutions that drive business success. We prioritize collaboration, creativity, data expertise, and experience, and we are committed to building long-term relationships with our clients based on shared values.
The RoleThe Director, Data Science Engineering is a key member of our Technical Delivery team. As a subject matter expert in data engineering, you will provide technical guidance to team members and lead by example. This is an excellent opportunity for someone who wants to manage a team while continuing to be hands-on.
Key Responsibilities- Be the trusted subject matter expert for all data engineering needs at Project X.
- Work with team members to define the scope and scale of each project, including logical and physical landscape requirements, design, development, and deployment efforts required to meet client expectations and deliverables.
- Manage a team of data engineers, including developing, mentoring, and retaining talented project consultants, and assist with successfully delivering and/or managing projects.
- Design and build data ingestion and transformation pipelines by leveraging classic and modern tools, managing technical risk, and promoting best practices.
- Establish standard design patterns and data flow documents for enterprise data warehousing solutions.
- Communicate effectively with stakeholders (technical & non-technical), including senior management, to provide updates on projects and ensure that goals are achieved.
- Work closely with other teams, such as data science and analytics, to understand their data needs and build systems to support their work.
- Manage project timelines to ensure that projects are delivered on time and that the work produced by your team is of high quality and reliable.
- Collaborate with Talent Acquisition teams to interview and select new staff based on competencies and culture fit.
- Collaborate with sales teams to review and approve approaches, proposal content, and project plans as it relates to your practice.
- 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+ years of experience in leading a team of Data Engineers, including performance management, mentoring/coaching, and hiring your team.
- ~Solid experience with data integration, building, and implementing ETL solutions.
- ~Familiarity with modern data engineering languages and platforms, such as Databricks or Snowflake.
- ~Degree in Engineering fields or related industry experience or acumen.
- Specialized training or certification in one or more of the technologies/skills listed is an asset.
