Senior Data Architect - Cloud & Enterprise Data Ecosystems
Lead the design, modeling, and governance of enterprise data ecosystems across cloud, warehouse, lake, and lakehouse environments. Drive architectural strategy and define data standards for scalable, secure, and high-performing data solutions.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Compensation & Location
Location: Onsite in Torrance, CA (LA County)
Schedule: Full-time, long-term contract
Work Type: 100% Onsite
Pay Range: $79.00 – $86.00 per hour (based on experience & internal equity)
Benefits: Health, Vision, Dental, Life Insurance, 401k, Continuing & On-Demand Education
📍 Must be willing to work onsite in Torrance, CA
✅ Sponsorship is available for this role
‼️ W2 ONLY — No C2C, No 3rd Parties
Position Summary
We are seeking a highly experienced Senior Data Architect to lead the design, modeling, and governance of enterprise data ecosystems across cloud, warehouse, lake, and lakehouse environments. This role drives architectural strategy, defines enterprise data standards, and partners with senior business and IT stakeholders to deliver scalable, secure, governed, and high-performing data solutions across the organization.
You will architect end-to-end data ecosystems (modeling, storage, movement, protection, lineage, BI integration), define standards for data quality and governance, and lead multi-year modernization initiatives involving cloud data lakes, real-time data streaming, and enterprise analytics platforms.
This is a highly visible technical leadership role requiring deep expertise in modern data architecture, data modeling, metadata, cloud platforms, and enterprise governance.
Key Responsibilities
- Translate business requirements into enterprise-grade data models, metadata, test data, and quality standards
- Lead stakeholder engagement with senior business leaders and align data architecture to long-term roadmaps
- Define enterprise data standards, governance frameworks, and quality processes
- Lead and conduct peer reviews, QA, and architectural validation of all project artifacts
- Partner with IT, data engineers, analytics teams, business owners, and project managers
- Evaluate and recommend tools, technologies, and modern data platforms (cloud, warehouse, streaming, governance)
- Establish governance frameworks for architecture teams, data teams, and vendor partners
- Ensure architectural alignment across storage, compute, pipelines, and consumption layers
What This Person Will Be Working On
- Designing and implementing data protection strategies at DB, schema, table, column, and API levels
- Applying data security, privacy, compliance (SOX, CCPA, GDPR) across all layers
- Designing enterprise data systems (databases, EDWs, data lakes, lakehouses)
- Architecting modern data environments across AWS, Redshift, S3, Kafka, Kinesis, Dataflow
- Optimizing enterprise pipelines for performance, timeliness, governance, and orchestration
- Delivering scalable data models using ERwin or equivalent modeling tools
- Implementing data lineage, metadata, and governance solutions
- Driving enterprise BI integration (Power BI, Tableau, Informatica, etc.)
Required Skills & Experience
- Bachelor’s Degree in Computer Science, Data Science, Engineering, or related field
- 10+ years designing enterprise data models (ERwin preferred)
- Proven experience with data lakes, warehouses, lakehouses, and cloud data platforms
- Expert-level knowledge of modern data ecosystems:
- AWS (S3, Redshift, Glue, Kinesis, Lambda)
- Streaming platforms (Kafka, Kinesis, Dataflow)
- Warehouse environments (Redshift, Snowflake, SQL Server, DB2)
- NoSQL (MongoDB, PostgreSQL, Document DB, etc.)
- Deep understanding of entity-relationship modeling, metadata systems, and MDM concepts
- Strong experience designing relational, analytical, datalake, and lakehouse architectures
- Experience with BI tools such as Power BI, Tableau, Informatica
- Strong communication and presentation skills for executive stakeholders
- Ability to lead complex, cross-functional technical discussions
- Strong analytical, data quality, and data governance skillset
- Stable enterprise work history required
- Big 4 consulting experience preferred
Desired Skills
- Experience implementing enterprise data governance programs
- Understanding of cloud security, data masking, encryption, zero trust models
- Knowledge of API-based data access patterns
- Ability to influence and guide solution designs enterprise-wide
- Experience with large-scale enterprise digital transformations
- Ability to work across business, engineering, security, and analytics domains