Data Architect
Core
Design, evolve, and manage enterprise data architecture for real-time financial data streams, Data Lakes, and AI/ML infrastructure.
Role type
Senior IC Data Architect (Enterprise Data Strategy)
Builds
Enterprise data architecture, real-time streaming pipelines, Data Lakes, and AI-ready infrastructure
Domain
Financial technology, real-time data processing, enterprise data management
Deliverable
production ML models | infrastructure
Required skills
Enterprise data architecture design, real-time streaming pipelines, Data Lake/Lakehouse management, SQL, Data Warehousing, Change Data Capture, streaming platforms, data processing tools, AI/ML ecosystem experience, Data Governance, Data Quality monitoring, Infrastructure as Code
Preferred skills
Cross-functional leadership, Architecture Review facilitation, mentoring, strategic planning
Technologies
Redshift, BigQuery, Snowflake, Azure Synapse, Kafka, Kinesis, Pub/Sub, Spark, Flink, dbt, Docker, Kubernetes, Terraform, CI/CD, PostgreSQL, NoSQL, Great Expectations
Responsibilities
Design and evolve corporate data architecture including real-time streaming pipelines and Data Lakes; Facilitate Architecture Review Boards to establish data standards and best practices; Develop Architecture Decision Records covering Data Tiering, Retention, Lifecycle Policies, and Master Data Management; Build Data Lineage and centralized data ownership processes using metadata tools; Define, negotiate, and monitor SLA/SLO for data-related metrics and manage the overall Data Quality Program; Make well-reasoned technological choices for data storage balancing functional requirements with financial optimization; Formulate long-term data strategies and prepare infrastructure for AI/ML adoption; Collaborate with cross-functional teams and present architectural proposals to leadership; Mentor data engineers and analysts to elevate engineering practices
Seniority
Senior, hands-on IC with strategic leadership
