Federal Data Pipeline Architect for Cloud Analytics

Accenture Federal Services; Springfield (IL); On-site; USD 120,000 - 160,000; Full time

Job summary

Accenture Federal Services in Springfield, IL seeks a Pipeline Architect to design, build, and maintain scalable data pipelines using Databricks, Spark, and cloud services. You will develop data processing workflows and integrate diverse sources to support analytics and reporting, working closely with data science and business units.

The role emphasizes data quality, governance, and automation within a cloud-native environment, leveraging AWS tools and modern data platforms to deliver reliable

Qualifications

• Design, build, and maintain end-to-end data pipelines using Databricks, Spark, and related technologies.
• Develop efficient data processing and transformation workflows to support analytics and reporting needs.
• Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets.
• Work closely with cross-functional teams to design and implement data solutions aligned with business goals.
• Implement robust validation, monitoring, and observability processes for data accuracy and reliability.
• Contribute to data governance, security, and automation within the data ecosystem.
• Leverage AWS services (S3, Glue, Lambda, Redshift) to deploy cloud-native data solutions.

Responsibilities

• Design and optimize scalable data pipelines for analytics.
• Collaborate with data science and analytics teams to meet reporting needs.
• Ensure data quality, monitoring, and observability across pipelines.
• Integrate cloud data sources and maintain data governance practices.

Skills

Databricks

Spark

Python

SQL

APIs integration

Data governance

Tools

AWS

Redshift

Glue

Lambda

Snowflake

Job description

Accenture Federal Services in Springfield, IL seeks a Pipeline Architect to design, build, and maintain scalable data pipelines using Databricks, Spark, and cloud services. You will develop data processing workflows and integrate diverse sources to support analytics and reporting, working closely with data science and business units.

The role emphasizes data quality, governance, and automation within a cloud-native environment, leveraging AWS tools and modern data platforms to deliver reliable