Manager of Data Engineering

$91,500 - $164,500/Yr

Xylem - Pittsburgh, PA

Full-time - Manager

Pittsburgh, PA

10,001+ employees

Computer and Electronic Product Manufacturing

About the position

The Manager of Data Engineering at Xylem is responsible for architecting, developing, and maintaining scalable data pipelines that support advanced analytics and business decision-making. This strategic leadership role involves driving data initiatives across the organization, collaborating with cross-functional teams, and ensuring data governance and best practices are implemented effectively.

Responsibilities

• Lead and manage the Data Engineering team to design, develop, and implement robust data pipelines that facilitate data collection, transformation, and analysis.
• Architect and optimize scalable data solutions using Azure services, including Azure Data Factory, Databricks, and Azure SAP Data Sphere.
• Integrate SAP ERP systems with modern cloud-based data platforms, ensuring smooth data flow across the enterprise.
• Drive innovation by leveraging Azure's advanced data tools to optimize data processes and workflows.
• Collaborate with stakeholders in IT, Sourcing, and other departments to understand data requirements, deliver insights, and ensure data integrity and security.
• Implement data governance and best practices to ensure the accuracy, availability, and performance of data assets.
• Oversee the end-to-end data lifecycle management, including ingestion, storage, processing, and retrieval of data for advanced analytics and business reporting.
• Mentor and develop the skills of the data engineering team, ensuring continuous improvement and knowledge growth in cloud data platforms.
• Work with analytics teams to support machine learning, data science, and reporting initiatives by providing well-structured and timely data.
• Ensure compliance with data privacy regulations and security best practices in cloud data environments.

Requirements

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field; Master's degree preferred.
• 5+ years of experience in data engineering, with at least 2 years in a management or leadership role.
• Extensive experience with Azure technologies, including Azure Data Factory, Databricks, and Azure SAP Data Sphere.
• Strong knowledge of SAP data integration with cloud platforms.
• Experience integrating legacy systems.
• Proficiency in data modeling, ETL processes, and building large-scale data pipelines.
• Expertise in SQL, Python, or Spark for data engineering tasks.
• Proven track record of managing and delivering complex data projects in a collaborative environment.
• Strong understanding of data governance, data quality, and compliance in enterprise environments.
• Excellent communication and leadership skills with the ability to influence stakeholders at all levels.

Nice-to-haves

• Experience with machine learning, data science tools, and big data processing frameworks.
• Knowledge of DevOps practices related to CI/CD pipelines in data engineering.
• Certifications in Azure Data Engineering or other relevant data platforms.

Benefits

• Paid Volunteer Program
• Diversity and Inclusion initiatives
• Employee Resource Groups (ERG)
• Equal Employment Opportunity (including disability and veterans)
• Affirmative Action workplace