Data Architect

3 weeks ago

Denver, United States Robert Half Full time
Job DescriptionJob Description

We are seeking an experienced and innovative Data Architect to design and implement scalable, efficient, and high-performing data solutions. The ideal candidate will have expertise in modern data engineering tools and platforms, including Airflow, DBT (Data Build Tool), FiveTran, and Snowflake. This role requires strong technical acumen, problem-solving skills, and the ability to align data architecture with business needs.


Key Responsibilities:

  • Architect and Design: Develop and maintain a modern data architecture that supports analytics, reporting, and machine learning use cases.
  • Data Integration: Utilize tools like FiveTran and Airflow to create seamless data pipelines that ingest and integrate data from multiple sources.
  • Data Modeling: Use DBT to define and maintain data transformations, ensuring data models align with business requirements and performance standards.
  • Data Warehouse Optimization: Design and optimize Snowflake environments to ensure cost-effective and high-performance data storage and querying.
  • Collaboration: Partner with data analysts, data scientists, and business stakeholders to understand their needs and implement tailored data solutions.
  • Governance and Security: Implement robust data governance practices, including security, quality, and documentation standards.


Required Skills and Qualifications:

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.

Proven experience as a Data Architect, Data Engineer, or similar role.

Hands-on expertise in the following:

Airflow: Workflow orchestration and scheduling.

DBT: Data transformation and modeling in a collaborative environment.

FiveTran: Data pipeline setup and maintenance.

Snowflake: Cloud-based data warehousing and optimization.

Strong proficiency in SQL and data modeling techniques.

Familiarity with cloud platforms (e.g., AWS, Azure, GCP).

Understanding of ETL/ELT frameworks and best practices.

Excellent problem-solving and communication skills.

Preferred Skills:

Experience with other data integration and transformation tools.

Knowledge of programming languages such as Python or Scala.

Exposure to machine learning or advanced analytics workflows.

Familiarity with BI tools (e.g., Tableau, Power BI, Looker).

What We Offer:


Competitive salary and benefits package.

Opportunity to work on cutting-edge technology in a collaborative environment.

Professional growth opportunities and training.

Flexible working hours and remote work options.

Required Skills and Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
  • Proven experience as a Data Architect, Data Engineer, or similar role.
  • Hands-on expertise in the following:
  • Airflow: Workflow orchestration and scheduling.
  • DBT: Data transformation and modeling in a collaborative environment.
  • FiveTran: Data pipeline setup and maintenance.
  • Snowflake: Cloud-based data warehousing and optimization.
  • Strong proficiency in SQL and data modeling techniques.
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
  • Understanding of ETL/ELT frameworks and best practices.
  • Excellent problem-solving and communication skills.


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