Galent · 3 hours ago
Data Architect
New York, NY
Full-time
Onsite
Senior Level
7+ years expGalent is seeking a Data Architect who will focus on data readiness, canonical standards, conceptual modeling, and gap analysis. The role involves leading the creation of data models, conducting data profiling, and ensuring data consistency and performance for high-volume datasets.
Computer Software
Hiring Manager
Ruban Alwin
Responsibilities
Lead the creation of the conceptual, logical, and physical data models
Lead the Conceptual Data Model (CDM) development for entities relevant to Visa models (Customer, Account, Transaction, Product)
Conduct data profiling and quality assessments of required model inputs
Map current attributes to Visa model feature requirements and identify gaps
Assess readiness of data domains (transaction history, merchant detail, behavioral metrics)
Review existing canonical data standards, metadata, and lineage to determine compatibility with modeling needs
Define early-stage transformation and enrichment needs (behavioral features, aggregations, rolling windows)
Define and oversee the strategy for data ingestion, movement, and synchronization from Snowflake to Databricks
Ensure schema consistency, data completeness, and performance for high-volume transactional datasets
Partner with engineering and platform teams to ensure the data foundation meets model requirements
Evaluate feasibility of creating model-ready datasets
Qualification
Required
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.
501-1000 employees
Funding
Current Stage
Late StageCompany data provided by crunchbase