Head of Data Engineering

Akkodis

Chestnut Hill (MA)

Hybrid

USD 175,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Medical insurance

Dental insurance

401K plan

Paid Sick Leave

Flexible benefit offerings

Job summary

A leading IT services company in Massachusetts is looking for a Strategic Data Strategy & Engineering Lead. The role involves architecting data strategies to empower decision-making and accelerate AI adoption. Ideal candidates should have significant experience in data engineering, Python, SQL, and cloud environments like Azure. The position is full-time, hybrid, with a competitive salary range of $175,000 to $230,000 per year, plus bonuses.

Qualifications

7+ years of experience in data engineering, analytics, or business intelligence.
Deep experience with Microsoft Azure or similar cloud platforms.
Strong proficiency in Python and SQL.

Responsibilities

Assess infrastructure and define a scalable data strategy.
Establish data governance and quality standards.
Design and develop robust ETL/ELT workflows.

Skills

Data engineering

Analytics

Business intelligence

Python

SQL

Data governance

ETL/ELT workflows

Cloud platforms (Azure, AWS, GCP)

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field

Tools

Azure Data Factory

Azure Synapse

Power BI

Tableau

dbt

Job description

Direct message the job poster from Akkodis

Are you passionate about turning raw data into real business impact? We’re seeking a Strategic, hands-on Data Strategy & Engineering Lead to architect the future of data at one of the leaders in their industry. This isn’t just about building pipelines—it’s about leading a company-wide transformation that empowers smarter decisions, accelerates AI adoption, and unlocks the full value of our data assets. In this role, you’ll partner with senior leaders across the business, design scalable infrastructure, and deliver insights that shape our strategic direction. You’ll also drive innovation in generative AI, predictive analytics, and emerging data technologies.

This salary range for this role is $175,000 per year to $230,000 per year plus annual bonus. Salary is based on experience and technical skills. This role will sit in Newton, MA and is hybrid. Out of area candidates will not be considered at this time.

Key Responsibilities

Assess current infrastructure and define a scalable, future-ready data strategy.
Establish and enforce data governance, quality, and reliability standards.
Design and develop robust ETL/ELT workflows for structured and unstructured data.
Create and optimize pipelines across cloud platforms (preferably Azure; AWS/GCP welcome).
Transform raw data into business-ready intelligence using Python, SQL, and modern tooling.
Partner with finance, leasing, operations, and development teams to understand and deliver on data needs.
Develop intuitive dashboards and reporting tools (Power BI, Tableau) for real-time decisions.
Promote data hygiene and stewardship across the organization.
Guide generative AI initiatives from proof-of-concept to production.
Contribute to proprietary ML/AI-powered tools and solutions.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
7+ years of experience in data engineering, analytics, or business intelligence.
Deep experience with Microsoft Azure (Data Factory, Synapse, Azure SQL), or similar cloud platforms.
Strong proficiency in Python and SQL; experience with dbt, Power BI, or Tableau is a plus.
Proven ability to design and scale data infrastructure and pipelines.
Excellent communicator with a knack for translating technical work into business value.
Familiarity with generative AI, APIs (e.g., OpenAI), or LLM frameworks is a strong bonus.

Equal Opportunity Employer/Veterans/Disabled

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.

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

The Company will consider qualified applicants with arrest and conviction records.

Seniority level