Senior Staff Enterprise Architect, Data
Core
Lead strategy, design, and modernization of enterprise data landscape, integrating Data Lake and Warehouse across multi-cloud platforms to enable self-service data access and AI enablement.
Role type
Senior Staff Enterprise Architect, Data
Builds
Enterprise data platforms, semantic layers, master data frameworks, and AI-powered data quality/security tools.
Domain
Enterprise Data Architecture, Multi-cloud Data Engineering, AI/ML Data Infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data strategy & roadmap design, Master Data Management (MDM), Data lineage strategy, Cross-cloud integration patterns, AI/ML tool evaluation, Build vs. buy frameworks, Vendor management, SQL, Python, Modern data platforms (Snowflake/Databricks/BigQuery), RAG architectures, Vector databases
Preferred skills
MongoDB Atlas, Voyage AI, RAG architectures, Vector databases
Technologies
MongoDB Atlas, Voyage AI, AWS, Azure, Google Cloud, Snowflake, Databricks, BigQuery
Responsibilities
Design semantic layer architecture standardizing business metrics; Develop Master Data strategy for Customer, Product, Finance, and People domains; Define cross-cloud data integration strategy and reference architecture; Develop 12-24 month data architecture roadmaps; Evaluate AI-powered data observability platforms; Define data ingestion architecture reducing latency; Establish build vs. buy frameworks for Data Platform and tooling; Design data solutions for priority initiatives; Participate in design reviews and conduct quarterly audits; Define data lineage strategy and technical requirements; Design automated data quality frameworks; Collaborate with InfoSec on data access governance; Establish data architecture principles and chair architecture review board; Build architecture community of practice; Mentor data engineers and architects.
Seniority
Senior Staff, hands-on IC with significant mentorship and strategy responsibilities