Data Architect & Engineer: Cloud, Metadata & Pipelines

Accenture-Federal-Services-2; Maryland; On-site; USD 103,000 - 196,000; Full time

Job summary

Accenture Federal Services is seeking a Data Engineer to join our team in Columbia, MD. You will deploy metadata platforms, manage multi‑cloud infrastructure and build data connectors for diverse data sources. The role emphasizes governance, security, and scalable pipelines.

Ideal candidates have 3+ years in data or platform engineering, experience with data catalogs, and proficiency in Python, SQL, and cloud/Kubernetes. On‑prem or cloud environments supported; TS/SCI clearance may be required.

Qualifications

• 3 years’ experience in data engineering or platform engineering roles.
• Prior experience with data catalog platforms (e.g.: Open Metadata, Collibra, Alation).
• Knowledge of data warehouse and lake architectures.
• Knowledge of cloud platforms or Kubernetes (e.g.: CKA, AWS Solutions Architect).
• Experience with data pipeline tools (e.g.: Apache Airflow, GitHub, GitLab).

Responsibilities

• Deploy and configure Open Metadata using Docker, Kubernetes, and Helm charts.
• Manage infrastructure across cloud platforms (AWS/Azure/GCP) or on‑prem environments.
• Implement infrastructure as code using Terraform or similar tools.
• Configure and maintain connectors for diverse data sources and data warehouses.
• Develop custom connectors and data integration using Python.
• Administer metadata stores and search indices; monitor performance.
• Set up monitoring with Prometheus, Grafana, and logging tools.
• Train users on data catalog features and best practices.

Skills

Python

Data modeling

Cloud platforms

Kubernetes

CI/CD pipelines

Education

Bachelor's degree in a related field

Tools

Docker

Terraform

Airflow

dbt

Elasticsearch

Tableau

PowerBI

Snowflake

BigQuery

Redshift

Job description

Accenture Federal Services is seeking a Data Engineer to join our team in Columbia, MD. You will deploy metadata platforms, manage multi‑cloud infrastructure and build data connectors for diverse data sources. The role emphasizes governance, security, and scalable pipelines.

Ideal candidates have 3+ years in data or platform engineering, experience with data catalogs, and proficiency in Python, SQL, and cloud/Kubernetes. On‑prem or cloud environments supported; TS/SCI clearance may be required.