What are the responsibilities and job description for the Data Engineer - Production support position at Princeton IT Services, Inc?
Job Title: Sr. Data Engineer - Production support
Location: Princeton, NJ
Type: Full-Time Contract
Job Summary
We are seeking an experienced Sr. Data Architect to join our team. The ideal candidate will have a strong foundation in SQL, data integration, and debugging, combined with a client-facing approach. This role will focus on designing and implementing data architecture solutions, providing production support, and ensuring efficient integration of data systems.
Key Responsibilities
Location: Princeton, NJ
Type: Full-Time Contract
Job Summary
We are seeking an experienced Sr. Data Architect to join our team. The ideal candidate will have a strong foundation in SQL, data integration, and debugging, combined with a client-facing approach. This role will focus on designing and implementing data architecture solutions, providing production support, and ensuring efficient integration of data systems.
Key Responsibilities
- Design, develop, and implement robust data architecture solutions tailored to business needs.
- Lead data integration projects, ensuring seamless flow of data between systems.
- Provide production support and resolve complex data issues in a timely manner.
- Work closely with stakeholders to understand business requirements and translate them into data solutions.
- Optimize SQL queries, perform database tuning, and ensure high data performance.
- Debug and troubleshoot data-related issues, ensuring minimal downtime and accurate reporting.
- Act as a technical liaison between the development team and clients, offering guidance and support for data-related queries.
- Collaborate with cross-functional teams to ensure smooth project delivery and data integrity.
- Ensure compliance with data governance and security protocols.
- Proven experience as a Data Architect or similar role.
- Strong SQL skills, including query optimization and database performance tuning.
- Experience with data integration tools and technologies (e.g., ETL, APIs).
- Hands-on experience in debugging and resolving complex data issues.
- Previous experience in production support for data systems.
- Client-facing experience with the ability to gather requirements and present technical solutions effectively.
- Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.
- Strong analytical and problem-solving skills.