Senior Data Warehouse Architect

2 weeks ago

New York, New York, United States Unreal Gigs Full time
Unlock the Power of Data-Driven Innovation

Welcome to Unreal Gigs, where we're revolutionizing the way companies harness the power of data. As a Senior Data Warehouse Engineer, you'll play a pivotal role in designing, building, and maintaining our cutting-edge data warehousing solutions.

Key Responsibilities:
  • Design and implement data warehouse architectures that meet business requirements and enable efficient data storage and retrieval.
  • Develop and maintain ETL/ELT processes to extract, transform, and load data from various sources into the data warehouse, ensuring data quality, integrity, and consistency.
  • Optimize data warehouse performance through indexing, partitioning, and query optimization techniques, ensuring scalability and responsiveness for analytical and reporting needs.
  • Implement data governance policies and procedures to ensure data quality, security, and compliance with regulatory requirements, including access controls, data masking, and encryption.
  • Implement monitoring and alerting systems to track data warehouse performance and health, proactively identifying and resolving issues to minimize downtime and data loss.
  • Document data warehouse design, processes, and best practices, providing clear and comprehensive documentation to facilitate understanding and collaboration among team members.
  • Collaborate with cross-functional teams, including data scientists, business analysts, and software engineers, to understand requirements and deliver data solutions that meet business needs.
  • Mentor junior engineers, sharing expertise and best practices in data warehouse engineering, and facilitate knowledge sharing sessions within the team.
Requirements:
  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
  • 5+ years of experience in data engineering, with a focus on designing, building, and maintaining data warehousing solutions.
  • Proficiency in SQL and experience with data warehousing technologies such as Snowflake, Amazon Redshift, Google BigQuery, or similar.
  • Strong understanding of data modeling principles and techniques, with experience designing and implementing data models and schemas for data warehouses.
  • Experience with ETL/ELT processes, data integration, and data governance in a data warehouse environment.
  • Strong problem-solving skills and analytical thinking, with the ability to troubleshoot complex data issues and optimize system performance.
  • Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.
What We Offer:
  • Competitive salary: $170,000 to $230,000 per year, depending on experience and qualifications.
  • Comprehensive health, dental, and vision insurance plans.
  • Flexible work hours and remote work options.
  • Generous vacation and paid time off.
  • Professional development opportunities, including access to training programs, conferences, and workshops.
  • State-of-the-art technology environment with access to cutting-edge tools and resources.
  • Vibrant and inclusive company culture with opportunities for growth and advancement.
  • Exciting projects with real-world impact at the forefront of data-driven innovation.

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