Lead Data Engineer

Akkodis; Plymouth (NH); On-site; USD 140,000 - 165,000; Full time

Benefits offered by this job

401k

Holidays and PTO

Job summary

A technology consulting firm based in Plymouth, NH, is seeking a Lead Data Engineer to build and optimize a modern data stack. The successful candidate will hold a Bachelor's degree and possess a minimum of eight years of experience. Key responsibilities include designing scalable data pipelines, optimizing Snowflake usage, and mentoring team members. This role offers a competitive salary of $140,000 to $165,000 per year, plus benefits such as a 401k and PTO.

Qualifications

• Minimum eight years’ related experience in data engineering.
• Extensive experience designing data platforms and pipelines.
• Experience with streaming/event-driven architectures.

Responsibilities

• Design and implement a modern, scalable data stack.
• Optimize Snowflake performance and cost efficiency.
• Mentor and guide junior and senior data engineers.

Skills

Designing and building modern data pipelines

Hands-on expertise with Snowflake

Deep knowledge of cloud environments (AWS, GCP, or Azure)

Proficiency with Apache Airflow

Python programming

SQL proficiency

Mentorship and technical leadership

Education

Bachelor’s degree in Computer Engineering or related field

Tools

Snowflake

Apache Airflow

Kafka

Kinesis

Job description

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.

Desired Qualifications

• 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 585-490-8656 or [e-mail]

Equal Opportunity Employer/Veterans/Disabled

Benefits offerings include but are not limited to

• 401k
• Holidays and PTO

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

Fair Chance Programs

• The California Fair Chance Act
• Los Angeles City Fair Chance Ordinance
• Los Angeles County Fair Chance Ordinance for Employers