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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Architect, Business Analytics and Data Intelligence Organization - **Company:** PDS Inc. - **Location:** Irvine, CA, United States - **Experience:** Expert - **Salary:** $150,000.0 - $194,000.0 - **Contract:** Permanent contract - **Skills:** Adaptable Database Systems, Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Cloud Computing, Cyber Security, Information Systems, Databases, Data Architecture, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Mining, Data Recovery, Data Security, Data Visualization, Software Design Patterns, Dimensional Modeling, Data Intelligence, Python (Programming Language), Network Security, Machine Learning, Network Configuration and Change Management, Power BI, Software Engineering, SQL Databases, Unstructured Data, Workflow Management Systems, Enterprise Data Management, Scripting, Data Storage Management, Google Cloud, Data Storage Technologies, Data Ingestion, Snowflake, Technical Debt, Information Technology, Star Schema, Data Management, Machine Learning Operations, Tools for Reporting, Data Pipelines, Databricks - **Published:** September 2, 2026 - **Apply:** https://www.careerbuilder.com/job-details/architect-business-analytics-and-data-intelligence-irvine-ca--2cdda4db-e518-4555-9917-ed80381f513b ## About the Role * Bachelor's Degree in Arts/Sciences (BA/BS) Computer Science, Data Science, Information Systems, or related field * 10+ years experience in data engineering * Expertise in the Modern Data Platform stack (Snowflake, Databricks). * Expertise with any major cloud platforms and services (AWS, GCP, Azure) * Experience with data ingestion and orchestration tools and frameworks, such as dbt, dagster, airflow, matillion, * Strong proficiency in SQL, Python, and data modeling techniques. * Strong knowledge of data extraction patterns and best practices. * Solid understanding of dimensional modeling and its application in analytics. * Strong problem-solving skills with a focus on delivering scalable and efficient solutions. * Working knowledge in the implementation of AI in data engineering lifecycle * Excellent communication and collaboration skills, with experience in client-facing roles. Knowledge/Skills/Abilities * Collaborate with stakeholders to design and implement scalable data engineering solutions. * Design of data pipelines, ensuring efficient extraction, transformation, and loading (ETL) processes for structured and unstructured data * Apply best practices in dimensional modeling to create robust and scalable data models for analytics and reporting. * Leverage tools such as Python, SQL, Snowflake native features to develop advanced data transformation and integration processes. * Optimize data storage and retrieval mechanisms to support high-performance analytics workloads. * Implement and manage hybrid analytics workloads using AWS Cloud infrastructure, including networking and security configurations. * Collaborate with analytics and BI teams to ensure seamless integration of data assets into Power BI and other reporting platforms. * Stay informed about emerging trends and technologies in data engineering and cloud analytics to enhance solution delivery. * Familiarity with advanced analytics tools and concepts, including machine learning workflows. * Knowledge of data visualization tools such as Power BI. * Experience with Agile methodologies for project management., Agile Programming Methodologies, Amazon Web Services (AWS), Analysis Skills, Architectural Analysis, Artificial Intelligence (AI), Best Practices, Blueprints, Business Analysis, Business Intelligence, Business Strategy, Cloud Computing, Communication Skills, Computer Science, Cross-Functional, Customer Relations, Data Analysis, Data Management, Data Modeling, Data Quality, Data Recovery, Data Science, Data Storage, Data Visualization Tools, Database Extract Transform and Load (ETL), Debt Management, Dental Insurance, Design Patterns Programming Methodologies, Dimensional Modeling, Diversity, Embedded Systems, Emerging Technology, Federal Laws and Regulations, GCP (Good Clinical Practices), Information Technology & Information Systems, Information/Data Security (InfoSec), Machine Learning, Maintain Compliance, Make-Versus-Buy Analysis, Microsoft Windows Azure, Needs Assessment, Network Configuration Management, Network Security, Performance Analysis, Power BI, Problem Solving Skills, Project/Program Management, Python Programming/Scripting Language, Regulatory Compliance, SQL (Structured Query Language), Snowflake Schema, Software Engineering, State Laws and Regulations, Strategic Planning, Structured Data, System Migration, Team Player, Technical Leadership, Technical Strategy, Technology Analysis, Trend Analysis, Unstructured Data, Vision Plan ## Description The Architect, Business Analytics and Data Intelligence designs scalable data pipelines and data models. Establishes guidelines for development standards and best practices for data pipeline build. Ensures data security and data quality is embedded in the data platform implementation framework. Provide cross functional support for data architecture and enterprise data management., * Manage technology architecture, standards, and design patterns ensuring alignment between business goals and technology strategy, managing collaboration with business leaders to analyze and capture business needs. * Analyze solution designs, blueprints, and architecture decision records. * Develop evaluation of technology alternatives for strategy and solution proposals, including build vs. buy analysis. * Deliver architecture governance and compliance with enterprise standards and frameworks. * Recommend improvements to technical roadmaps aligned with business strategy, coordinating with department leaders. * Manage technical debt assessment, modernization strategies, and migration planning. * Ensures compliance with all policies and standards, as well as state, federal and other regulatory bodies. * This is not intended to be a comprehensive list of the duties and responsibilities of the position and the duties and responsibilities may change. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [JavaScript? No. Java Scripts! - Scripting with Java](https://www.wearedevelopers.com/videos/2094-javascript-no-java-scripts-scripting-with-java) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)