Lead Data Engineer

Akkodis is seeking a Lead Data Engineer job with a client in Plymouth NH. Must hold a Bachelor’s degree in Computer Engineering, Computer Science, or related field to be considered. You will help build a modern data stack from the ground up for a new product, and help architect, implement, and scale this ecosystem. You will play a foundational role in shaping our data engineering practices, tooling, and infrastructure while collaborating closely with engineering, product, and analytics partners.

This is a rare opportunity to influence the entire data platform from day one—designing how data flows into the organization, how it’s processed, and how it enables insights across the business.

Salary Range: $140/year to $165/year;
The salary may be negotiable based on experience, education, geographic location, and other factors.

• Design and implement a modern, scalable, cloud‑based data stack for a new product.
• Design and build a scalable, cloud‑based data platform centered around Snowflake as our primary data warehouse.
• Stand up streaming event collectors and real‑time ingestion pipelines feeding into Snowflake.
• Optimize Snowflake performance, storage, compute usage, and cost efficiency.
• Stand up streaming event collectors and real‑time data ingestion pipelines.
• Build robust, automated data workflows using tools such as Apache Airflow.
• Establish best‑in‑class data modeling, transformation, and governance practices.
• Build and support internal dashboards and reporting infrastructure leveraging Snowflake as the source of truth.
• Partner with stakeholders to understand data needs and translate them into scalable engineering solutions.
• Develop internal dashboards and reporting infrastructure.
• Partner with stakeholders to understand data needs and translate them into scalable engineering solutions.
• Serve as the technical lead for the Data Engineering team.
• Mentor and guide junior and senior data engineers.

• Bachelor’s degree in Computer Engineering, Computer Science, or related field is required.
• Minimum Eight years’ related experience
• Extensive experience designing and building modern data pipelines and platforms.
• Strong hands‑on expertise with Snowflake, including warehouse configuration, optimization, data sharing, and security features.
• Deep knowledge of cloud environments (AWS, GCP, or Azure).
• Strong proficiency with Apache Airflow or similar orchestration tools.
• Experience with streaming/event‑driven architectures (e.g., Kafka, Kinesis, Pub/Sub).
• Expertise in Python, SQL, and data modeling best practices.
• Experience integrating product analytics tools and dashboarding solutions.
• A solid track record of technical leadership and mentorship.
• Comfort working in a fast‑paced, environment where you help shape the direction.

If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at  or

Equal Opportunity Employer/Veterans/Disabled

• 401k
• Holidays and PTO

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