Galent · 13 hours ago
Data Architect
Galent is seeking a Data Architect with extensive experience in data architecture and data platform engineering. The role involves designing data architectures to support machine learning workloads and collaborating with various teams to ensure effective data management and governance.
Responsibilities
7–10+ years of experience in data architecture, data platform engineering, or large-scale analytics systems
Deep expertise with Databricks, PySpark/Spark, Delta Lake, and distributed compute architectures
Strong knowledge of Snowflake, including data modeling, ingestion patterns, and performance scaling
Hands-on experience designing data architectures to support ML workloads, feature engineering and model scoring
Demonstrated ability to design end-to-end pipelines in complex, regulated data environments
Strong understanding of Azure cloud platform, IAM, and enterprise security practices
Excellent communication skills with ability to collaborate across engineering, data science, product, and governance teams
Prior involvement in MLOps architectures or model deployment frameworks
Qualification
Required
4–7 years of hands-on experience in data engineering with cloud data platforms
Strong experience with Databricks, PySpark, Spark SQL, and Delta Lake
Proficiency with Snowflake and cross-platform data integration
Experience building large-scale feature engineering pipelines for ML workloads
Strong SQL skills and experience with distributed data processing
Understanding of MLOps concepts, pipeline versioning, and CI/CD best practices
Strong understanding of Azure cloud platform, IAM, and enterprise security practices
7–10+ years of experience in data architecture, data platform engineering, or large-scale analytics systems
Deep expertise with Databricks, PySpark/Spark, Delta Lake, and distributed compute architectures
Strong knowledge of Snowflake, including data modeling, ingestion patterns, and performance scaling
Hands-on experience designing data architectures to support ML workloads, feature engineering and model scoring
Demonstrated ability to design end-to-end pipelines in complex, regulated data environments
Strong understanding of Azure cloud platform, IAM, and enterprise security practices
Excellent communication skills with ability to collaborate across engineering, data science, product, and governance teams
Prior involvement in MLOps architectures or model deployment frameworks
Company
Galent
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.
Funding
Current Stage
Late StageCompany data provided by crunchbase