Billing Data Architect — Enterprise Data Pipelines

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

Job summary

EchoStar, Englewood, Colorado, is seeking a Staff Engineer for Billing Operations to design enterprise data architecture, govern data quality, and implement scalable data pipelines for Billing and Credit systems. The role focuses on integration, governance, and reporting across multiple data domains.

The position requires extensive experience with SQL, Python, and big data tools like Snowflake and Airflow, with a strong emphasis on operational reliability and collaboration with IT teams.

Qualifications

• Bachelor's degree or US equivalence in a related field and 6 years of professional experience in software/data engineering or related roles.
• Experience translating business requirements into technical specs and communicating data findings clearly to business teams.
• Experience designing data quality standards, ETL processes, data modeling, and production data troubleshooting.

Responsibilities

• Design enterprise data architecture solutions to support scalable data integration, governance and reporting.
• Develop and maintain data governance processes, data quality rules, and data lineage documentation.
• Define architecture standards, integration frameworks, and automated data pipelines for Billing and Credit systems.
• Collaborate with IT and engineering teams to resolve system dependencies and ensure delivery of technical solutions.
• Analyze Billing, Credit, and related data domains to identify data requirements and quality gaps.

Skills

SQL development

Data analysis

Business requirements analysis

Python

Big data processing

Education

Bachelor's degree or US equivalent in Computer Science/ Engineering/ IT

Tools

Snowflake

Airflow

SQL Server

AWS Athena

Job description

EchoStar, Englewood, Colorado, is seeking a Staff Engineer for Billing Operations to design enterprise data architecture, govern data quality, and implement scalable data pipelines for Billing and Credit systems. The role focuses on integration, governance, and reporting across multiple data domains.

The position requires extensive experience with SQL, Python, and big data tools like Snowflake and Airflow, with a strong emphasis on operational reliability and collaboration with IT teams.