Director, Data Engineering

Akkodis is seeking a Director, Data Engineering for a contract position with a client located Location: Boston, MA and Portland, ME (Hybrid).

Pay Range: 190-240K/Annum The salary may vary based on experience, education, geographic location, and other factors.

Title: Director, Data Engineering

Location: Boston, MA and Portland, ME (Hybrid)

Employment Type: Direct Hire

Note: The candidate must reside within 30 miles of one of the following locations: Boston, MA; Portland, ME.

The Director of Data Engineering will report to the VP of Data Technology. An ideal candidate will have a rich experience in large scale platform/application development, data ingestion, processing and serving and various data architectures such as data warehouse, data lake, data lake house, data mesh etc, an established background in developing complex data pipelines, deep engineering skills and technical ability, outstanding people leadership with track record of growing/building strong and productive global teams, excellent project management skills, great communication skills, and a motivation to achieve results in a fast paced environment.

This individual will have a strong track record of helping to deliver effective, highly available, and scalable data assets in a hyper-growth environment where priorities shift quickly.

How you’ll make an impact:

• Lead and drive the development of data engineering technology and platforms for the company's data needs, ensuring their reliability, performance, and flexibility.
• Own the technology and architecture of the data services.
• Challenge the status quo to drive better technical solutions that effectively serve all data-related needs.
• Partner closely with leaders in various business units to deeply understand their data needs and jointly develop technical solutions that serve these needs effectively.
• Demonstrate strong thought leadership and partnership to align technical solutions with business goals.
• Grow and build a strong global software and data engineering team, focusing on attracting and hiring top talent.
• Provide effective guidance and coaching on engineering principles and best practices to ensure team productivity, high quality, and timely delivery of initiatives.
• Ensure reliable data platform production execution, observability, and provide clear visibility to partners.
• Partner with other leaders in Data, AI, and various business units to leverage the data platform for their needs.
• Collaborate with solutions architecture, other engineering teams within data org and line of business (LOB) product and engineering teams to integrate the data assets with their products/systems, ensuring reliable execution.
• Create, prioritize, communicate, manage, and execute roadmaps, project plans, and commitments.

Experience you’ll bring

• Bachelor’s degree in Computer Science, Engineering, or a related field; A higher degree in a related field is a plus.
• Proven track record with at least 10 years of experience in data engineering, dataOps for a large-scale data platform serving multiple business lines and products, including hands-on design and implementation experience
• 5 years of experience in a leadership role, managing and scaling engineering teams.
• Extensive experience in designing solutions on High trust/PCI-compliant cloud data platform
• Deep knowledge and rich experience in data ingestions, including streaming technology and systems.
• Proficiency with data platform architecture, design, data dictionaries, multi-dimensional models, objects, star and snowflake schemas as well as structures for data lakes, data science, and data warehouses
• Extensive experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
• Strong expertise in designing and building scalable data pipelines, ETL processes, and analytics solutions using AWS services (e.g., S3, Glue, Lambda), ETL tools [ e.g., Qlik, Fivetran, Informatica IICS], and Snowflake.
• Experience in migrating data from existing warehouses (Oracle, SQL Server) to cloud data platform
• Strong problem-solving, analytical, and critical thinking skills.
• Excellent communication and interpersonal skills, with the ability to influence and collaborate with stakeholders at all levels.
• Experience in software development with programming languages like Python, Java, or Scala.
• Proven track record managing the entire Software Development Life Cycle (SDLC) for complex projects.
• Strong understanding and practical experience with CI/CD pipelines, automated testing, and agile methodologies.

Benefits include but are not limited to:

• Medical/Dental/Vision
• 401K
• PTO/Paid Holidays

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

· The California Fair Chance Act

· Los Angeles City Fair Chance Ordinance

· Los Angeles County Fair Chance Ordinance for Employers

· San Francisco Fair Chance Ordinance