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# Manager II Enterprise Systems

- **Company:** TE Connectivity,
- **Location:** Middletown, PA, United States
- **Experience:** Expert
- **Salary:** $214,500.0
- **Contract:** Permanent contract
- **Skills:** Query Performance, Business Analytics Applications, Data Analysis, Big Data, Information Systems, Databases, Information Engineering, Data Infrastructure, Data Structures, Relational Databases, Database Development, PostgreSQL, Meta-Data Management, Metadata Repositories, Microsoft SQL Server, Oracle (Applications), Performance Tuning, PL-SQL, SQL Server Integration Services, Enterprise Software Applications, Usage Tracking, Information Technology, Data Analytics, Databricks
- **Published:** July 9, 2026
- **Apply:** https://www.juju.com/job/00000000gesl8u

## About the Role

* Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field with 10+ years of experience

 * Extensive experience in data analysis within enterprise environments.

 * Strong experience relational database platforms such as Oracle, SQL Server, and PostgreSQL, including advanced SQL development and performance tuning.

 * Experience working with modern data platforms such as Databricks.

 * Familiarity with database programming languages such as PL/SQL, SSIS

 * Demonstrated ability to define, document, and drive adoption of data and database best practices.

 * Proven experience mentoring or providing technical leadership to other data analysts

 * Strong analytical, problem-solving, and communication skills

Preferred Skills & Qualifications

 * Experience working in governed data environments, including data catalogs, metadata management, and data quality processes.

 * Familiarity with cloud based analytics architectures and large scale data processing concepts

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

## Description

Technical Leadership & Mentorship

 * Provide mentorship and technical guidance to data analysts across the organization.

 * Promote consistent analytical standards, documentation, and knowledge sharing within the analyst community.

Data & Database Standards

 * Define, document, and maintain best practices for data analysis and database management across enterprise applications.

 * Establish standards for SQL development, data modeling, query performance optimization, and data usage patterns.

Platform & Technology Expertise

 * Design and optimize analytical queries and data structures using relational database platforms such as Oracle, SQL Server and PostgresSQL.

 * Utilize modern analytics platforms such as Databricks for large scale data analysis and collaborative analytics.

 * Partner with data engineering and platform teams to influence analytical data design and performance strategies.

Cross Functional Collaboration

 * Collaborate with application owners, architects, and engineering teams to ensure analytical needs are considered in solution design.


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