Data Architecture

Description

Lead the first of six strategic initiatives to build a centralized repository of trusted and timely data

Identify authoritative data sources and decompose business processes to pinpoint data generation

Define semantic meaning of data and align stakeholders around integrated data models

Stand up a data quality program and refresh process across 400+ systems

Architect centralized technical infrastructure and onboard tooling and people

Collaborate with application development teams and manage a small team and contractors

Skills

ERWIN, TOGAF, BOSSED, ZACHMAN

Additional Skills & Qualifications

Bachelor’s degree in Finance, Computer Science, Information Systems, or a related field (or equivalent experience)

Minimum of 12 years of experience in enterprise data architecture or advanced data engineering

Proven track record of leading data architecture for complex, large-scale organizations

Expert-level knowledge of data modeling across 3NF, dimensional, and logical domains

Strong understanding of metadata, lineage, and authoritative source management

Experience in architecting cloud-based data ecosystems (e.g., Snowflake, Azure, Databricks)

Deep familiarity with data integration patterns, including ELT/ETL, data virtualization, APIs, and real-time streaming

Proficiency in applying modern architectural approaches (DDD, Data Mesh, Agile, etc.)

Ability to align architectural vision with business strategy and value drivers

Excellent communication skills with both technical teams and business executives

Proven ability to lead cross-functional design efforts in complex environments

Experience with data governance frameworks and tools (e.g., Collibra, Alation, Informatica)

Additional:

Experience in financial services, wealth management, or other regulated industries

Familiarity with data privacy and regulatory compliance (e.g., GDPR, SEC, FINRA)

Experience in enterprise information architecture or data product thinking

Experience in data platform selection, cloud migration, or enterprise data strategy

Experience Level

Expert Level