At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. 

Job Overview

•    Lead the design, development, and implementation of data architectures, data pipelines, and data systems
•    Manage a team of data engineers and provide technical guidance and mentorship
•    Collaborate with cross-functional teams, business partners, stakeholders including c-suite to understand business requirements, promote best practice & trade-offs, and to provide solutions that meet the organization's goals 
•    Develop and maintain Data as an asset
•    Optimize data processes for efficiency, reliability, and scalability
•    Act as a Subject Matter Expert to the organization for end-to-end data pipeline
•    Operate large-scale data warehouse solutions and big data platforms 
•    Stay up-to-date with emerging technologies, trends, and best practices in data engineering.

What your background should look like:

•    Overall 10+ years of experience in building complex IT solutions more focused on data pipeline (Data Engineering, Data Warehousing, DataLake, DeltaLake, Bigdata, Data Streaming, unstructured data, and data modeling for BI/AI solutions)
•    5+ years of experience in leading global technical team and managing senior level stakeholders
•    Strong hands-on experience in data architecture, data modeling, Could data engineering and ETL processes.
•    Accomplished in scaling teams, managing multiple geographic locations, and inspiring a team to deliver high quality projects using Cloud and on-premises platforms
•    Expertise in dealing with data environments with high-data variability, and high-data volumes
•    Expertise in integrating data pipeline from various systems like SAP, MES, Salesforce, Clickstream, Chatbot and External unstructured Data leveraging various ingestion patterns
•    Demonstrated ability to build consensus among many stakeholders
•    Excellent communication skills and ability to interact with all levels of end users and technical resources
•    Ability to manage multiple projects and priorities in a fast-paced environment

We Value
•    AWS certification
•    Prior working experience with SAP HANA, SAP BW or other tools compatible with SAP ERP environments
•    Having prior experience with one or more SAP ERP functional module
•    Prior experience using SAP BOBJ or Tableau or other Viz tools
•    Prior experience working with Data Scientists and MLOPS teams

Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.


Values: Integrity, Accountability, Teamwork, Innovation
SET : Strategy, Execution, Talent (for managers)

TE Connectivity is a global industrial technology leader creating a safer, sustainable, productive and connected future. Our broad range of connectivity and sensor solutions, proven in the harshest environments, enable advancements in transportation, industrial applications, medical technology, energy, data communications and the home. With more than 85,000 employees, including more than 7,500 engineers, working alongside customers in approximately 140 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more at and on LinkedIn, Facebook, WeChat and Twitter.

•    Competitive base salary commensurate with experience: $143,920 – 215,880 (subject to change dependent on physical location)
•    Posted salary ranges are made in good faith. TE Connectivity reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as internal and external equity.
•    Total Compensation = Base Salary + Incentive(s) + Benefits
•    A comprehensive benefits package including health insurance, 401(k), disability, life insurance, employee stock purchase plan, paid time off and voluntary benefits.

EOE, Including Disability/Vets



State:  PA
Country/Region:  US
Travel:  Less than 10%
Requisition ID:  117257
Alternative Locations: 
Function:  Information Technology

Nearest Major Market: Harrisburg

Job Segment: SAP, ERP, Information Systems, Data Warehouse, Engineer, Technology, Engineering