Staff Data Architect — Enterprise Data & Pipelines

EchoStar Corporation; Englewood (CO); On-site; USD 174,000 - 181,000; Full time

Job summary

EchoStar Corporation is seeking skilled data engineers to design enterprise data architectures for scalable integration, governance, and reporting across enterprise systems.

You will develop data quality rules, involve stakeholders, and implement automated pipelines using Snowflake, Airflow, and SQL Server in a modern cloud environment. Collaboration with IT and engineering is essential for delivery success.

Qualifications

• Bachelor’s degree or U.S. equivalent in Computer Science, Data Science, Software Engineering, Information Technology, Systems Engineering or a related field.
• 6 years of professional experience in Software/Data Engineering, SQL development, data analysis, and business requirements analysis.

Responsibilities

• Design enterprise data architecture solutions to support scalable data integration, governance, and reporting requirements.
• Develop and maintain data governance processes, data quality rules, pipeline controls, and audit mechanisms.
• Provide technical guidance on data architecture, modeling standards, integration patterns, and scalable database design.
• Define architecture standards and implementation frameworks for automated data pipelines and enterprise data solutions.
• Collaborate with IT and engineering teams to resolve system dependencies and ensure successful delivery of technical solutions.
• Analyze Billing, Credit, and related data domains to identify data requirements and data quality gaps.
• Evaluate and implement tools and technologies based on system requirements and performance.

Skills

SQL development

Data analysis

Business requirements analysis

ETL pipelines

Python

Big data platforms

Education

Bachelor's degree in Computer Science or related field

Data Science/Software Engineering background

Tools

Snowflake

Airflow

SQL Server

AWS Athena

Job description

EchoStar Corporation is seeking skilled data engineers to design enterprise data architectures for scalable integration, governance, and reporting across enterprise systems.

You will develop data quality rules, involve stakeholders, and implement automated pipelines using Snowflake, Airflow, and SQL Server in a modern cloud environment. Collaboration with IT and engineering is essential for delivery success.