Job Description
About Galent: Galent is an AI-native digital engineering firm delivering enterprise-ready AI solutions. Through consulting, AI-native services, and digital engineering, we help organizations unlock the full potential of AI and drive next-generation digital transformation.
\n
\n
For more information about Galent and our suite of AI solutions, visit www.galent.com.
\n
Galent | AI Native Digital Engineering | Outpace, Outstand, Outplay
\n
Galent is an AI-native digital engineering firm at the forefront of the AI revolution, dedicated to delivering unified, enterprise-ready AI solutions that transform businesses and industries.
\n
\n
Job Title: Senior Solution Architect - Data Engineering
\n
Location: Washington, DC
\n
Employment Type: Full-Time
\n
\n
Must-Have:
\n
· Experience delivering multiple production-grade cloud data platform implementations
\n
· Advanced Python, SQL, and Spark/PySpark with some exposure to Databricks.
\n
· Strong knowledge of ETL/ELT, data modeling, CDC, streaming, governance, and performance optimization
\n
· Experience with Git, CI/CD, automated testing, and deployment strategies
\n
· Experience contributing to solution design and architectural decisions
\n
· Experience leading technical implementation activities and/or mentoring engineers
\n
· At least one Associate-level or higher AWS, Azure, or GCP certification
\n
\n
Nice-to-Have:
\n
· Delta Lake / Lakehouse experience
\n
· Snowflake, Redshift, Synapse, or BigQuery experience
\n
· Docker / Kubernetes exposure
\n
· Working knowledge of Terraform / Infrastructure as Code