Watts Water Technologies

Senior Data Engineer

Andover, Massachusetts, USA · Senior · full-time

Sponsorship not specified$141k-$168kDetected 56 days ago

Code ReviewSnowflakeDatabricksAzureCI/CDDevOpsMachine LearningSparkAirflowData EngineeringStakeholder ManagementSAPERPCommunicationCollaborationProblem SolvingMentoring

About the role

Together, we're reimagining the future of water.
We feel proud every day about what we do.
Watts is a leading brand with a quality reputation - and we have a dynamic future ahead.

Requirements

Approximately 20% travel may be required.
Bachelor's degree in Computer Science, Information Systems, or a related field (in absence of degree, relevant work experience may be considered).
10+ years of experience in data engineering, data lakehouse architecture, streaming data architecture, and enterprise data solutions design.
Expert-level knowledge of Azure platform services, including Azure Fabric and related data tools.
Strong hands-on experience designing and implementing data engineering solutions in Azure, Snowflake, and/or Databricks.
Experience integrating SAP data (S/4HANA or BW) with modern cloud data platforms.
Must successfully establish employment eligibility and satisfactorily complete background checks and required pre-employment testing as a condition of employment.

Nice to have

Familiarity with API-driven integrations and data virtualization concepts.
Microsoft Azure architecture certification or other relevant certification in the cloud data domain is a plus.
Excellent communication, collaboration, and stakeholder management skills.
Strong problem-solving skills and the ability to navigate complex technical ecosystems.
General Applicable Company Competencies Commitment to Watts' values of integrity, accountability, continuous improvement and innovation, and transparency.
Punctuality and dependability.
Adherence to all personnel policies, procedures, and standards of process as implemented by Watts.

Compensation

The expected salary range for this position is $141,000 - $168,000 yearly.
Actual compensation will be dependent upon individual skills, experience, qualifications, and applicable law.

Benefits

Please note that the following benefits apply only to permanent roles and do not apply to internship roles.
No matter your role, there are opportunities for learning and development, and your daily contributions make a meaningful impact on the lives of people who use our products and on the future of water.

Company info

For 150 years, Watts has built best-in-class products that are trusted by customers in residential and commercial settings across the world.
We are at the forefront of innovation, working with cutting-edge technology to provide smart and connected, sustainable water solutions for the future.
Scope of Position This highly skilled individual, as part of the Information Technology / Global Data & Analytics team, will be responsible for designing, developing, and optimizing Watts' enterprise data engineering ecosystem.
The Senior Data Engineer will lead the design of scalable data pipelines and data ingestion strategies that support analytics, reporting, and artificial intelligence across Watts' global business units.
This role will help drive the next generation of Watts' data platform by leveraging technologies such as Azure Fabric, Snowflake, Databricks, and the SAP ecosystem to enable advanced analytics, data governance, and scalable enterprise data solutions.
This position does not have direct reports, but will provide technical mentorship and guidance to junior and mid-level data engineers through code reviews, design reviews, and technical leadership.
This position reports to the Senior Data Architect.
This role may be based in North Andover, MA (hybrid), Dallas, TX, or remote within the United States.
Primary Job Duties and Responsibilities Lead the design and architecture of large-scale data pipelines to support analytics, reporting, and AI/ML workloads.
Own end-to-end data ingestion frameworks, ensuring scalability, reliability, and fault tolerance across batch and streaming pipelines.
Define and enforce data engineering best practices including coding standards, version control, CI/CD processes, data modeling standards, and DevOps automation.
Develop complex ETL/ELT solutions leveraging platforms such as Databricks, ADF, LakeFlow, Informatica, Fivetran, or custom Spark-based pipelines.
Collaborate with enterprise architects and solution architects to align data platform strategies with business and technical roadmaps.

Equal opportunity

Any employee who needs a reasonable accommodation should contact Human Resources.

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