Straive · 1 day ago
Data Architect
San Francisco Bay Area
Full-time
Onsite
Senior Level, Lead/Staff
10+ years expStraive is a global leader in enterprise-grade data analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert insights. The Data Architect role focuses on data readiness, canonical standards, and gap analysis, leading the creation of data models and ensuring data completeness and performance for high-volume datasets.
CRMOutsourcing
Hiring Manager
Jeffrey Evans M Victor
Responsibilities
Lead the creation of the conceptual, logical, and physical data models
Lead the Conceptual Data Model (CDM) development for entities relevant to client's models (Customer, Account, Transaction, Product)
Conduct data profiling and quality assessments of required model inputs
Map current attributes to client's 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 modelling 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
10+ years of PHP development experience, including API design and integration work
Proven experience integrating with credit card 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 modelling, 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 ML Ops architectures or model deployment frameworks
Company
Straive
Straive is a global provider of technology-driven content and data services.
10001+ employees
Funding
Current Stage
Late StageTotal Funding
unknown2021-08-20Acquired
Leadership Team
Ankor Rai
Chief Executive Officer
Lori Silverstein
SVP Global Sales, Data and Content Solutions
Recent News
2025-06-21
Canada NewsWire
2025-06-19
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