Lead Data Engineer
Lead Data Engineer
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Job Description
About ITT:
At ITT we have a clear purpose as an organization to provide our customers with cuttingedge solutions to help solve their most critical needs across key global end markets. Our continuous improvement mindset drives our commitment to evolving our capabilities as a multiindustrial technology manufacturing and engineering leader. With a strong global footprint of more than 100 facilities we are well positioned to solve critical challenges for our customers around the world. Our locations include manufacturing facilities and global service capabilities in 35 countries. Through these worldwide operations and building on our heritage of innovation our approximately 11000 team members partner with our customers to deliver enduring solutions that make a lasting difference and help the world move forward. ITT is headquartered in Stamford CT with sales in approximately 125 countries. The company generated 2024 revenues of $3.6 billion.
- Motion Technologies: (Revenue of $1.4B; headcount of 4000; operates in 13 countries) manufactures brake components and specialized sealing solutions shock absorbers and damping technologies primarily for the global automotive truck and trailer public bus and rail transportation markets.
- Industrial Process: (Revenue of $1.4B; headcount of 3400; operates in 30 countries) manufactures engineered fluid process equipment serving a diversified mix of customers in global industries such as chemical energy mining and other industrial process markets and is a provider of plant optimization and efficiency solutions and aftermarket services and parts.
- Connect and Control Technologies: (Revenue of $0.8B; headcount of 3800; operates in 10 countries) manufactures harshenvironment connector solutions critical energy absorption flow control components and composite materials for the aerospace and defense general industrial medical and energy markets.
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 companys data architecture in the cloud pipeline development and production readiness of datadriven solutions on the Azure platform. This role requires a handson 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 fastpaced 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 processoriented mindset and demonstrate strong attention to detail
- Have a natural curiosity and a passion for solving complex data challenges
- Consistently deliver highquality results while balancing longterm strategy with immediate business needs
- Be comfortable navigating ambiguity and fostering a datadriven 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 processoriented 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 cloudbased data architecture for the entire organization ensuring that it is optimized for performance security and scalability leveraging Azures 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 companys 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 crossfunctional teams across the business to identify opportunities to leverage data for business process improvements and decisionmaking
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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 cloudbased 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 nonrelational 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 nontechnical stakeholders
- A teamoriented mindset and a passion for datadriven 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:
- Bachelors Degree in Computer Science or STEM
- Masters Degree (or higher) in Data Engineering Data Science or a related field is considered a strong plus
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Employment Type
Full-Time
