Lead Data Engineer

About ITT:

ITT is an industrial manufacturer of critical, engineered components that serve fast-growing end markets in transportation, flow, energy, aerospace and defense. The company’s differentiation is sustained through a combination of several factors: execution, the quality of its leadership and our DNA as an engineering leader. We have a clear purpose as an organization: to provide our customers with cutting-edge solutions to help solve their most critical needs.

 The company generated 2023 revenues of $3.3 billion and is comprised of three distinct segments: 

• Motion Technologies ($1.5B revenue) is a global leader in brake pads, shock absorbers and sealing solutions for the automotive and rail markets
• Industrial Process ($1.1B revenue) is a global leader in centrifugal and twin-screw pumps for the chemical, energy, mining and industrial markets
• Connect & Control Technologies ($0.7B) is a niche player in harsh environment connectors and control components in critical applications for the aerospace, defense and industrial markets.

 ITT is headquartered in Stamford, Connecticut with over 10,000 employees in more than 35 countries and sales in approximately 125 countries.

Position Summary

At ITT, we are seeking an experienced Lead Data Engineer to guide and execute our data engineering strategies across the enterprise, with a focus on Microsoft Azure technologies. The Lead Data Engineer will be part of the Data Analytics & AI team, responsible for supervising a team of professionals, leading efforts in designing and scaling the company’s data architecture in the cloud, pipeline development, and production readiness of data-driven solutions on the Azure platform. This role requires a hands-on approach, driving the design and implementation of solutions that will power our data initiatives.

Essential Responsibilities

• Be highly driven and able to manage multiple priorities in a fast-paced environment
• Demonstrate great leadership skills, including the ability to inspire, supervise, mentor and guide a team of data engineers towards achieving shared goals
• Approach problems with a process-oriented mindset and demonstrate strong attention to detail
• Have a natural curiosity and a passion for solving complex data challenges
• Consistently deliver high-quality results while balancing long-term strategy with immediate business needs
• Be comfortable navigating ambiguity and fostering a data-driven culture across the organization
• Ensure that all services and the related service delivery is highly scalable, repeatable, and measurable manner across all aspects of their team (people, process, and technology).
• This individual will be highly driven (“high motor”), able to balance active priorities, be meticulous and planful.
• Be comfortable addressing ambiguity, able to consistently deliver results, be naturally curious and highly accountable, and approach situations in a thoughtful and process-oriented manner.

More specifically you will:

• Collaborate with business and technical stakeholders to gather and translate requirements into a robust, scalable data architecture on Azure that meets business objectives
• Be part of the design the cloud-based data architecture for the entire organization, ensuring that it is optimized for performance, security, and scalability, leveraging Azure’s data services and capabilities
• Provide technical leadership in data architecture, ETL/ELT processes, and pipeline design on Azure, ensuring scalability, reliability, and performance
• Oversee the day to day responsibilities and priorities of a team of data engineers
• Prioritize efforts, develop actionable and measurable project plans.
• Manage the resources assigned to you and work with your manager to develop future looking development, training and staffing plans to accommodate the growth of the organization.
• Design and develop scalable data pipelines on Azure using services like Azure Data Factory, Synapse Analytics and Fabric to integrate, transform, and load data from various sources (structured and unstructured) into the company’s data platforms
• Implement and maintain data governance best practices to ensure data quality, security, and compliance on Azure
• Work closely with the rest of the Analytics and AI/ML team to provide the necessary data infrastructure for advanced analytics, reporting, and AI/ML models

• Stay updated on the latest trends, tools, and best practices in Azure cloud technologies and data architecture, advocating for continuous improvement
• Collaborate with cross-functional teams across the business to identify opportunities to leverage data for business process improvements and decision-making

#LI-HYBRID

Position Requirements

• At least 6 years of experience in data engineering, including work with data architecture design, data pipeline development, and cloud data platforms, specifically Microsoft Azure
• Proven experience in designing and implementing scalable, cloud-based data architectures using Azure Data Services (e.g., Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL, or Cosmos DB)
• Experience in collaborating with business teams and technical teams to deliver data solutions that align with business goals
• Demonstrated experience in leading teams and/or projects with ability to manage competing priorities and drive successful deliver of data solutions
• Strong understanding of database design principles, data modeling, and optimization for both relational and non-relational databases
• Proficiency in Python, SQL, and modern data engineering frameworks such as Apache Spark or Databricks
• Experience with data pipeline orchestration tools like Azure Data Factory, Airflow and containerization technologies such as Docker and Kubernetes within the Azure environment
• Excellent communication skills, both verbal and written, with the ability to explain technical concepts to non-technical stakeholders
• A team-oriented mindset and a passion for data-driven innovation

Preferred Qualifications:

• Experience with version control tools (git), working in dev and production environments
• Familiarity with CI/CD pipelines for data deployment using Jenkins, Azure DevOps and automation frameworks
• Familiarity with Microsoft Fabric as a modern data platform will be considered a strong plus

Education:

• Bachelor’s Degree in Computer Science or STEM
• Master’s Degree (or higher) in Data Engineering, Data Science, or a related field is considered a strong plus

#LI-HYBRID