Data Solutions Architect
Job in
Santa Clara, Santa Clara County, California, 95053, USA
Listed on 2026-07-06
Listing for:
Veriipro
Full Time
position Listed on 2026-07-06
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Job Summary
We are seeking an experienced Data Solutions Architect to design and implement scalable, secure, and cloud-native data platforms with expertise in data warehousing, lakehouse architectures, and multi-tenant environments. The ideal candidate will define enterprise data architecture, enable advanced analytics and AI/ML, and translate business requirements into robust technical solutions.
Key Responsibilities Architecture & Design- Design end-to-end cloud data platform architecture across ingestion, storage, transformation, and consumption.
- Develop scalable Lakehouse, Data Warehouse, and Data Mesh solutions.
- Establish reference architectures and reusable design patterns.
- Design secure multi-tenant data platforms with tenant isolation and lifecycle management.
- Implement policy-based access control, encryption, and compliance frameworks.
- Architect enterprise data warehouse and lakehouse solutions.
- Design batch and real-time data pipelines.
- Optimize data models, query performance, and platform scalability.
- Define data governance, cataloging, lineage, and metadata management.
- Implement enterprise security, identity integration, and regulatory compliance.
- Design integrations with APIs, streaming platforms, and enterprise systems.
- Ensure high availability, scalability, reliability, and cost optimization.
- Collaborate with business and technology stakeholders to deliver architecture roadmaps.
- Mentor engineering teams and promote architecture best practices.
- Drive adoption of AI/ML and GenAI capabilities within the data platform.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 10+ years of experience in Data Engineering/Data Architecture.
- Strong experience in enterprise cloud data platforms, multi-tenant solutions, and modern data architectures.
- Excellent stakeholder management, leadership, and communication skills.
- Cloud Platforms: AWS, Azure, or GCP
- Data Platforms:
Snowflake, Databricks, Microsoft Fabric, Synapse, Redshift, Big Query - Technologies:
Spark, Kafka, SQL, Python, ETL/ELT, Delta Lake - Expertise in Lakehouse, Data Warehouse, Multi-Tenant Architecture, Data Governance, Security, and Cloud Data Engineering
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×