Vaco
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 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.
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.
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.
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 .
#J-18808-Ljbffr
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 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.
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.
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.
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 .
#J-18808-Ljbffr