Data Solutions Architect

Veriipro; Santa Clara (CA); On-site; USD 130,000 - 180,000; Full time

Job summary

Veriipro is seeking an experienced Data Solutions Architect to design and implement scalable, cloud-native data platforms. You will define enterprise data architecture and enable advanced analytics and AI/ML.

The role requires expertise in data warehousing, lakehouse architectures, and multi-tenant environments, with a focus on leadership and innovation in data governance and security.

Qualifications

• 10+ years of experience in Data Engineering/Data Architecture.
• Strong experience with enterprise cloud data platforms and multi-tenant solutions.
• Excellent stakeholder management and communication skills.

Responsibilities

• Design end-to-end cloud data platform architecture.
• Develop scalable Lakehouse and Data Warehouse solutions.
• Implement policy-based access control and compliance frameworks.

Skills

Data Architecture

Cloud Platforms (AWS, Azure, GCP)

Data Governance

Multi-Tenant Architecture

AI/ML Integration

ETL/ELT

SQL

Python

Spark

Kafka

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

Snowflake

Databricks

Microsoft Fabric

Synapse

Redshift

BigQuery

Job description

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.

Multi-Tenant Platform

• Design secure multi-tenant data platforms with tenant isolation and lifecycle management.
• Implement policy-based access control, encryption, and compliance frameworks.

Cloud Data Platform

• Architect enterprise data warehouse and lakehouse solutions.
• Design batch and real-time data pipelines.
• Optimize data models, query performance, and platform scalability.

Data Governance & Security

• Define data governance, cataloging, lineage, and metadata management.
• Implement enterprise security, identity integration, and regulatory compliance.

Integration & Performance

• Design integrations with APIs, streaming platforms, and enterprise systems.
• Ensure high availability, scalability, reliability, and cost optimization.

Leadership & Innovation

• 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.

Required Qualifications / Skills

• 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, BigQuery
• Technologies: Spark, Kafka, SQL, Python, ETL/ELT, Delta Lake
• Expertise in Lakehouse, Data Warehouse, Multi-Tenant Architecture, Data Governance, Security, and Cloud Data Engineering