Technical Lead - Cloud Data Warehouse

Massive Insights

$100K — $130K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years in data warehouse, data modeling, ETL, and BI projects
  • 5+ years in a client-facing consulting role
  • 3+ years hands-on with Snowflake cloud data warehouse
  • 3+ years in Python development and ETL tools like Matillion or Talend
  • 3+ years leading a technical team of data engineers and architects
  • Completed cloud warehouse projects in at least 2 cloud environments (AWS, Azure, GCP)
  • Technical cloud certifications (AWS, Azure, or Snowflake) are maintained or achieved
  • Strong ability to communicate with both business and technical professionals
  • Degree in Computer Science, Mathematics, Data Science, or related field

Responsibilities

  • Supervise team activities including work scheduling and technical direction
  • Assist in delivery of cloud-based data warehouse and data lake solutions
  • Collaborate with client technology teams to enhance data collection and reporting
  • Design and implement data warehouse strategies and ETL/ELT processes
  • Develop strategies for transforming large volumes of structured and semi-structured data
  • Oversee data architecture and data modeling for secure solutions
  • Define metadata and security standards for data warehouse development
  • Coordinate communication with external departments and support project tasks
  • Mentor junior team members in best practices and capability development
  • Engage in pre-sales and solution engineering efforts

Benefits

  • Hybrid work location options available (remote and/or on-site)
  • Fully employer-paid health and dental benefits
  • Criminal and background checks required
Full Job Description
Job Description

The Technical Lead - Cloud Data Warehouse provides overall leadership to the team of data engineers, analysts and architects to implement world-class data solutions that meet our clients' diverse business objectives and needs. This role is both a client-facing consulting role and a hands-on programming/development role. Working with teams of internal and clients' data engineers and architects, this role will lead in the delivery on modernizing their current data infrastructure, including data warehouses, data lakes and data marts. This role will be responsible for leading and contributing to the team responsible for the architecture and development of data ingestion processes, performance, administration, and design of database structures.

RESPONSIBILITIES
  • Supervise team activities including work scheduling, technical direction, and standard development practices; staff project and/or production support activities being mindful of the associated costs.
  • Assist in the delivery of cloud-based data warehouse, lake, and mart solutions
  • Understand data landscape i.e. tooling, tech stack, source systems etc. and work closely with client technology teams to improve data collection, quality, reporting and analytics capabilities
  • Design, document, and implement data warehouse strategies, including building ETL, ELT, and Data Pipeline processes
  • Develop processes for loading and transforming of large volumes of structured and semi-structured data
  • Responsible for data architecture, data modeling and data governance to implement high-performance, highly secure solutions
  • Participate in data warehouse development by defining metadata and security standards
  • Perform a variety of tasks to facilitate completion of projects including but not limited to coordinating communication with outside departments, writing documentation and specifications, testing, and consulting
  • Mentor less experienced team members
  • Support pre-sales and solution engineering activities


Qualifications
  • 10+ years experience in data warehouse, data modeling, ETL, BI projects
  • 5+ years experience working in client-facing, consulting role
  • 3+ years hands-on experience with Snowflake cloud data warehouse
  • 3+ years hands-on experience in python development and ETL tools (Matillion, Talend, etc)
  • 3+ years experience leading technical team of data engineers and architects
  • Completed cloud warehouse projects in at least 2 of AWS, Azure, GCP cloud technologies
  • Maintain and achieve technical cloud certifications (AWS, Azure, or Snowflake)
  • Ability to work and communicate with both business and technical experts
  • College or University degree in Computer Science, Mathematics, Data Science and/or relevant degree


Additional Information
  • Hybrid work location (remote and/or office option available)
  • Fully employer paid health and dental benefits
  • A criminal and background check will be required

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