Job Title: Solution Architect III Location: Hybrid – On-site Monday & Tuesday (Cypress, CA) Job Type: Direct-Hire, Full-time Overview We are seeking a skilled Solution Architect for a full-time, direct hire position. The ideal candidate will have extensive experience in designing and implementing scalable, high-performance solutions, with a strong background in system architecture and integration. This role requires a deep understanding of cloud platforms, data architectures, and enterprise system integration, and the ability to work independently in a fast-paced environment while collaborating effectively with cross-functional teams to create innovative and efficient technical solutions.Key Responsibilities 1. Data Architecture & Management
Design and implement scalable, high-performance database solutions.
Lead the architecture, governance, and optimization of the Consolidated Data Warehouse.
Oversee database administration and management, ensuring data integrity and security.
Develop semantic layer views and materialized views in Snowflake.
Optimize credit usage efficiency in Snowflake and cloud-based data environments.
2. Data Governance & Strategy
Establish enterprise-wide data governance policies and procedures.
Ensure data quality, standardization, and security through best practices.
Implement and maintain master data management (MDM) frameworks.
Develop data pipelines, ETL processes, and data flow architectures to enable data accessibility.
3. Cross-Functional Collaboration & Innovation
Work with Product Managers, Developers, and Business Stakeholders to align data solutions with business needs.
Support data science and analytics teams by creating data tools, models, and algorithms.
Research and evaluate emerging cloud, AI, and big data technologies to enhance data architecture strategies.
Lead proof-of-concept (PoC) initiatives for innovative data solutions.
4. Technical Leadership & Governance
Define and enforce architectural standards, policies, and best practices across the enterprise.
Analyze current data architectures, identify gaps, and recommend improvements.
Collaborate with RTS leadership to maximize the IT portfolio's efficiency and security.
Provide technical guidance on integrations, data modeling, and infrastructure design.
Required Qualifications
5+ years’ experience in data warehouse analysis and design.
5+ years’ experience in data integration and/or data quality technologies.
Proven expertise in Enterprise Data Architecture and data modeling.
Deep understanding of data warehouses, data lakes, data farms, and master data structures.
Advanced experience in Snowflake data warehouse management.
Strong knowledge of SQL, XML, JSON, and ETL technologies.
Experience developing data governance policies and procedures.
Proficiency in Microsoft Windows & Microsoft Office products.
Strong communication skills (verbal and written) for cross-functional collaboration.
Detail-oriented problem solver with excellent interpersonal and customer service skills.
Preferred Qualifications
Experience in unstructured and semi-structured data processing.
Experience in Cloud IaaS architectural design using Azure, AWS, or Google Cloud.
Knowledge of Hadoop, Hive, Pig, Spark cluster environments.
Proficiency in Python, R, Scala, and advanced machine learning applications.
Hands-on experience developing Big Data solutions and best practices.
Familiarity with Storybook, Chromatic, NPM, and other development tools.
Understanding of advanced client/server and internet architectures.