Senior Principal Technical Data Architect

0-2 years
a month ago 7 Applied
Job Description

As a Technical Data Architect, you will play a critical role in building and managing data solutions to support our organizations data-driven initiatives. You will lead a team of data engineers and work closely with data analysts, data scientists, and other stakeholders to ensure data is collected, processed, and made available for analysis.

What you will do
  • Review and merge code contributions from others in a given data domain

  • Design, develop, and maintain data pipelines for data extraction, loading, and transformation (ELT) processes.

  • Utilize SQL and Python to create ELT processes and collaborate with cross-functional teams to understand data requirements and ensure data pipelines meet business needs.

  • Data Modeling and Transformation:

  • Create and maintain data models using dbt that enable efficient data transformation and reporting.

  • Collaborate with engineers to ensure data models align with the overall data architecture.

  • Database Management (Snowflake):

  • Manage and optimize Snowflake database systems for efficiency, scalability, and performance.

  • Work on database schema design, performance tuning, and security within the Snowflake environment.

Team Leadership:

  • Lead and mentor a team of data engineers, providing technical guidance, coaching, and support.

  • Collaborate with other departments and stakeholders to align data engineering efforts with overall business goals.

  • Promote opensource principles

ELT Development:

  • Develop and maintain ELT processes to extract, load, and transform data from various sources into data repositories.

  • Ensure data quality and accuracy in the ELT processes.

Data Governance and Compliance:

  • Implement data governance policies and practices to maintain data quality, security, and compliance with relevant regulations (eg, GDPR, HIPAA).

Documentation and Best Practices:

  • Document data engineering processes, standards, and best practices for knowledge sharing and training.

  • Promote and enforce coding and data engineering best practices within the team.

Performance Monitoring and Optimization:

  • Monitor the performance of data pipelines, databases (Snowflake), and data models, making improvements and optimizations as needed.

  • Troubleshoot and resolve data-related issues in a timely manner.

What you will bring

Bachelors or Masters degree in Computer Science, Data Engineering, or a related field.

Extensive experience in data engineering, including ELT development, data pipeline management, and data modeling using dbt.

Strong proficiency in Snowflake, including database management, performance tuning, and data security.

Experience with opensource projects and principles

Solid knowledge of data modeling and architecture principles.

Proficiency in Python for data processing and automation.

Leadership and team management skills.

Excellent problem-solving, communication, and collaboration abilities.

Familiarity with data governance, data security, and compliance standards.






Data Pipeline Management
ELT Development
Opensource Projects
Compliance Standards

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