Galent · 1 day ago
Data Architect
New York, NY
Full-time
Onsite
Senior Level
7+ years expGalent is a company focused on data readiness and modeling, seeking a Data Architect to lead the creation of data models and assess data quality. The role involves defining strategies for data ingestion and ensuring schema consistency for high-volume datasets.
Computer Software
Hiring Manager
Hari Baskar
Responsibilities
Lead the creation of conceptual, logical, and physical data models
Lead Conceptual Data Model (CDM) development for entities relevant to machine learning models (Customer, Account, Transaction, Product)
Conduct data profiling and data quality assessments of required model inputs
Map current attributes to model feature requirements and identify gaps
Assess readiness of data domains (transaction history, merchant detail, behavioural metrics)
Review existing canonical data standards, metadata, and lineage to determine compatibility with modeling needs
Define early-stage transformation and enrichment requirements (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
Proven experience integrating with payment processors or servicers (e.g., TSYS, Fiserv, etc.)
Strong understanding of banking systems and core banking integration patterns
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 supporting 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