Data Architect

Job Title: Data Architect

Location: NY/NJ/CT (Onsite)

Long Term Contract

If you find this opportunity suitable, kindly share your updated resume. Also, please let me know a good time to connect with you for a quick discussion.

Looking forward to hearing from you!

Job Description:

Key Responsibilities 

• Data Warehouse Management: Maintain and optimize the SQL Server data warehouse, ensuring performance, reliability, and data integrity. 
• Process Optimization: Identify and implement enhancements to ETL processes, data pipelines, and operational workflows. 
• Technical Leadership: Serve as the technical lead for data engineering initiatives, collaborating with Product Owners, Managers, and agile teams to deliver on sprint and program objectives. 
• Project Delivery: Oversee all aspects of data engineering activities, including design, development, testing, documentation, deployment, and production support. 
• Stakeholder Collaboration: Work closely with business and technology teams to understand requirements and deliver effective data solutions. 
• Standards & Compliance: Ensure adherence to data governance, security policies, and best practices across all data engineering activities. 
• Continuous Improvement: Stay up to date with technology changes, particularly in cloud platforms and data privacy. 

Professional Experience / Qualifications: 

• Experience: 15+ years of IT experience with a focus on hands-on development and data architecture. 
• Technical Skills: Proficient in data modelling, pipeline creation, and merging datasets. 
• Client-Facing: Experienced in leading client engagements and translating technical concepts to non-technical stakeholders. 
• Data Warehousing: 10+ years of real-world data warehousing project experience, with a deep understanding of architectural principles and design patterns. 
• Snowflake & Spark: Strong hands-on experience with Snowflake for data warehousing and Spark for data processing. 
• ETL/ELT Workflow Design: Proven experience in designing efficient and robust ETL/ELT workflows and job scheduling. 
• Performance Tuning: Expertise in performance tuning of SQL queries and Spark jobs. 
• Tool Proficiency: Experience with Git, Jira, and Agile methodologies. 
• Communication Skills: Strong written and verbal communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. 
• Analytical Skills: Excellent analytical and problem-solving abilities, with a self-driven attitude and the capability to work both independently and as part of a team. 

Soft Skills: Strong attention to detail, collaborative mindset, and curiosity.