ZipRecruiter

Log In

1

Director Data Engineering Jobs in Walpole, MA (NOW HIRING)

Novartis

Clinical Data Engineering Lead

Cambridge, MA · On-site

Novartis Biomedical Research is searching for a visionary Associate Director to lead Clinical Data Engineering within their Oncology Data Science team. In this pivotal role, you'll be responsible for ...

Novartis

Clinical Data Engineering Lead

Cambridge, MA

$176K - $327K/yr

Novartis Biomedical Research (NBR) is searching for a visionary Associate Director to lead Clinical Data Engineering within our Oncology Data Science (OncDS) team. In this pivotal role, you'll be at ...

Formation Bio

Director, Data Science

Boston, MA · On-site

$235K - $307K/yr

About the Position As the Director of Data Science at Formation Bio, you will be at the forefront ... Strong programming skills, particularly in Python * Extensive experience in multi-modal ...

Bridgenext, Inc.

Engineering Director

Boston, MA · On-site

$180 - $260/hr

Position Description We are seeking a highly experienced Engineering Director to be a Data Solutions Architect in our Global Data Practice and Engineering & Technology team. This role requires a ...

CookUnity

Director, Data Science/ML

Boston, MA · On-site

The role: We're looking for a Director, Data Science/ML who will drive CookUnity's next phase of ... Partner closely with Product, Growth, Engineering, and UX leadership to influence product roadmap ...

previous pagenext page

Showing results 21-40

All JobsData Engineering JobsDirector Data Engineering JobsDirector Data Engineering Jobs in Walpole, MA

Director Data Engineering information

See Walpole, MA salary details

$79.6K

$212.3K

$276.9K

How much do director data engineering jobs pay per year?

As of Aug 18, 2026, the average yearly pay for director data engineering in Walpole, MA is $212,294.00, according to ZipRecruiter salary data. Most workers in this role earn between $154,300.00 and $275,800.00 per year, depending on experience, location, and employer.

What does a director of data engineering do?

A Director of Data Engineering leads the strategy, architecture, and execution of data infrastructure within an organization. They manage teams responsible for data pipelines, storage, and processing systems to ensure scalability, reliability, and performance. This role involves collaborating with business leaders, data scientists, and analysts to align data capabilities with company goals. Additionally, they oversee technology selection, governance, security, and best practices for data management.

What are the key skills and qualifications needed to thrive as a director of data engineering?

To thrive as a Director Data Engineering, you need deep expertise in data architecture, data pipeline design, large-scale database systems, and leadership, typically supported by a relevant degree and significant experience managing engineering teams. Familiarity with tools like SQL, Python, Spark, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as Google Cloud Certified - Professional Data Engineer or AWS Certified Solutions Architect are often expected. Outstanding communication, strategic thinking, and the ability to mentor and inspire teams are key soft skills in this position. These skills ensure the successful design and execution of robust data solutions that drive organizational decision-making and innovation.

What are some common challenges faced by a director of data engineering, and how are they typically addressed?

A Director of Data Engineering often encounters challenges such as integrating disparate data sources, maintaining data quality and security at scale, and aligning data strategy with evolving business goals. Successfully addressing these challenges requires close collaboration with cross-functional teams, continuous upskilling in new technologies, and implementing best practices for data governance and automation. Directors must balance hands-on technical oversight with strategic planning, ensuring their teams are equipped to deliver reliable and high-performing data infrastructure. By fostering a culture of innovation and adaptability, Directors help their organizations stay ahead in a rapidly evolving data landscape.

What job categories do people searching Director Data Engineering jobs in Walpole, MA look for?

The top searched job categories for Director Data Engineering jobs in Walpole, MA are:

What cities near Walpole, MA are hiring for Director Data Engineering jobs?

Cities near Walpole, MA with the most Director Data Engineering job openings:

Director Data Engineering jobs near you
Infographic showing various Director Data Engineering job openings in Walpole, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $212,294 per year, or $102.1 per hour.

Clinical Data Engineering Lead

Novartis

Cambridge, MA • On-site

Full-time

Re-posted 4 days ago

Novartis rating

7.5

Company rating: 7.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

64th of 86 rated pharmaceutical

Job description

Job Summary:
Novartis Biomedical Research is searching for a visionary Associate Director to lead Clinical Data Engineering within their Oncology Data Science team. In this pivotal role, you’ll be responsible for shaping early clinical development by building innovative biomarker data infrastructure and championing translational research.
Responsibilities:
• Define and implement the clinical data engineering roadmap in alignment with Novartis’ data and digital strategy, collaborating with SMEs and OncDS leadership.
• Integrate advanced tools and AI/ML-ready infrastructure to support predictive modeling, multimodal analytics, and real-world data applications.
• Align clinical and pre-clinical data engineering initiatives with the broader oncology strategy.
• Lead, manage, and develop a high-performing clinical data engineering team, fostering collaboration and growth.
• Drive strategic initiatives and partnerships across a matrixed organization.
• Oversee data ingestion, transformation, and validation processes for clinical trial data, ensuring compliance with GCP/GxP, CDISC, and SOPs.
• Collaborate with CROs and internal teams to optimize data flow, versioning, and retention policies.
• Build and optimize data pipelines for both structured and unstructured clinical data to enable advanced analytics and informed decision-making.
• Deploy scalable solutions for data harmonization, metadata management, and interoperability across platforms such as Foundry, Domino, Snowflake, and POSIT Connect.
• Develop and manage applications and visualization tools, contributing to novel data products that support clinical decision-making and enable AI-driven initiatives in oncology trials.
Qualifications:
Required:
• Master's degree in computer science, Bioinformatics, Data Engineering, Software Engineering or a closely related discipline; PhD preferred.
• Minimum 10 years of hands-on experience architecting and managing clinical data engineering, data management, and bioinformatics solutions in pharmaceutical or biotechnology industry.
• Demonstrated expertise in designing, implementing, and scaling data infrastructure to support clinical development—including Artificial Intelligence (AI) / Machine Learning (ML) -driven analytics and multimodal data integration.
• Proven ability to define, document, and operationalize end-to-end assay data generation and processing pipelines, with a focus on automation, orchestration, and compliance.
• Extensive experience with oncology clinical trials, including regulatory-compliant management of clinical biomarker data and application of data standards (e.g., Clinical Data Interchange Standards Consortium [CDISC], Study Data Tabulation Model [SDTM], Analysis Data Model [ADaM]).
• Deep familiarity with FAIR (Findable, Accessible, Interoperable, Reusable) data principles, data harmonization, and enterprise data governance frameworks.
• Strong leadership in technical teams, with advanced communication and stakeholder management skills.
Preferred:
• Extensive experience leading cross-functional data science initiatives in oncology, including translational science, biomarker analysis, real-world data, and exploratory clinical research; proven expertise with NGS technologies, and modern bioinformatics tools.
• Advanced proficiency in cloud-native architectures, data lakes, and visualization frameworks (e.g., RShiny, Dash, Spotfire); strong programming and engineering skills (R, Python, Java, shell scripting, Linux, HPC), with a deep understanding of GxP, Agile methodologies, AI/ML operations, and architecting/managing AI agents in large clinical data environments.
Company:
Novartis is a pharmaceutical company that researches and develops medicines for serious diseases to improve and extend people's lives. It is a sub-organization of Meye Asset Management. Founded in 1996, the company is headquartered in Basel, CHE, with a team of 10001+ employees. The company is currently Late Stage.

What Novartis employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply