Hiring

Data Lead

Engineering · Full-time · Canada

Job description

ABOUT APPLY DIGITAL

Apply Digital is a global digital transformation partner for change agents. Leveraging expertise that spans Business Transformation Strategy, Product Design & Development, Commerce, Platform Engineering, Data Intelligence, Change Management, and beyond, we enable our clients to modernize their organizations and deliver meaningful impact to the business and to their customers. Our 650+ team members have helped transform global companies like Kraft Heinz, NFL, Moderna, Lululemon, Games Workshop, Atlassian, and The Very Group. Visit applydigital.com to learn how we can unlock your company’s potential.

If you'd like to learn more about Apply Digital's culture click HERE.

LOCATION: Apply Digital is hybrid/remote friendly. The preferred candidate should be based in Canada, working in hours that align to ET (Eastern Timezone).

THE ROLE:

Apply Digital is seeking an experienced Data Lead to spearhead our data initiatives and drive our team to new levels of performance. This position requires a unique combination of technical mastery and strategic leadership. The successful candidate will possess deep expertise in data engineering, MarTech, and analytics solutions, with a strong focus on Customer Data Platforms (CDP) and data warehouse technologies. You will be responsible for guiding the Data team, interfacing with clients to deliver data-driven strategies, and managing end-to-end data solution implementations.A proven track record in integrating data across multiple cloud platforms and media channels, activating data for marketing effectiveness, and aligning cross-functional teams through innovation is essential. Familiarity with data science or advanced analytics is a strong advantage.

Responsibilities:

  • Lead and mentor a team of data resources in designing, creating, and maintaining scalable data pipelines, architectures, and analytics solutions.
  • Integrate data with media platforms by leveraging Customer Data Platforms (CDP) to enhance client capabilities.
  • Liaise with internal teams, clients, and stakeholders as the primary data engineering liaison to define project data requirements and technology stacks.
  • Translate complex business requirements into technical specifications, ensuring the team's solutions align with client needs.
  • Foster a collaborative environment that encourages innovation and the adoption of data engineering and analytics best practices.
  • Ensure the team's solutions utilize Cloud services effectively by optimizing data architectures for performance and scalability.
  • Champion the development and implementation of data architecture frameworks, standards, and principles, covering modeling, metadata, security, and reference data.
  • Oversee data security and compliance measures to ensure all data handling aligns with company policies and regulations.
  • Promote continuous learning within the team, staying ahead of emerging technologies and methodologies in data engineering and analytics.

Requirements:

  • A Bachelor's degree in Computer Science, Information Systems, or a related field.
  • At least 7 years of experience in data engineering, analytics or measurement with a proven track record of leading data teams.
  • Expertise in Analytics solution, SQL, ETL, data warehousing technologies, and extensive hands-on experience with Cloud services.
  • Demonstrated experience in data modeling, analysis techniques, and implementing data management best practices.
  • Experience with data activation on media platforms using data integrations and Customer Data Platforms (CDP).
  • Excellent communication and problem-solving skills, with the ability to lead client-facing discussions and presentations.
  • Previous experience in a client-facing role, with a strong understanding of Data Analytics practices.
  • Experience in data science or advanced analytics.

#LI-Hybrid #LI-DP1


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