JPS Tech Solutions
Job Title: Enterprise Data Specialist Lead Engineer
Location: Stamford, CT
Experience: 12+ Years
Employment Type: Contract
Interview Type: In-Person or Webcam
Job Overview
We are seeking an experienced Enterprise Data Specialist Lead Engineer to join our team. The ideal candidate will have extensive experience managing large-scale data environments, ensuring data integrity, and enabling enterprise-level data solutions. This role requires both technical leadership and hands‑on expertise in designing, implementing, and optimizing enterprise data systems.
Key Responsibilities
- Lead the design, development, and implementation of enterprise data solutions, including data warehouses, data lakes, and data pipelines.
- Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.
- Ensure data governance, quality, security, and compliance standards are met across all enterprise data initiatives.
- Develop and enforce data management best practices, including metadata management, master data management (MDM), and data lifecycle management.
- Mentor and provide guidance to junior data engineers and analysts.
- Optimize and troubleshoot ETL/ELT processes, database performance, and data integration workflows.
- Work closely with IT, analytics, and business teams to support reporting, analytics, and AI/ML initiatives.
- Stay updated with emerging data technologies and recommend improvements to existing systems.
- Drive enterprise data strategy and participate in technology roadmap planning.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
- 12+ years of experience in data engineering, data architecture, or enterprise data management.
- Strong expertise in relational and NoSQL databases, data modeling, and data warehousing concepts.
- Hands‑on experience with ETL/ELT tools (e.g., Informatica, Talend, DataStage, Apache Nifi).
- Proficiency in SQL and scripting languages (Python, Shell, or Java).
- Experience with cloud data platforms (AWS, Azure, or Google Cloud Platform).
- Solid understanding of data governance, security, and compliance requirements.
- Proven experience leading technical teams and managing enterprise‑scale projects.
Preferred Skills
- Experience with big data technologies such as Hadoop, Spark, or Kafka.
- Knowledge of BI tools such as Tableau, Power BI, or Looker.
- Familiarity with AI/ML data pipelines and analytics frameworks.
- Experience with master data management (MDM) and data quality tools.
- Strong problem‑solving, communication, and stakeholder management skills.
Seniority Level
Mid-Senior level
#J-18808-Ljbffr