Full-Time
Architect – Business Analytics and Data Intelligence
PDS Health
Integrated healthcare support company
Compensation Overview
$150k - $194k/yr
Irvine, CA, USA
In Person
Bachelor's
 Data & Analytics (1) |
|---|
- A Bachelor's degree in Arts/Sciences (BA/BS) in Computer Science, Data Science, Information Systems, or a related field is required.
- At least 10 years of experience in data engineering is required.
- Expertise with the Modern Data Platform stack, including Snowflake and Databricks, is required.
- Expertise with a major cloud platform and its services, including Amazon Web Services, Google Cloud Platform, or Microsoft Azure, is required.
- Experience with data ingestion and orchestration tools and frameworks such as dbt, Dagster, Airflow, and Matillion is required.
- Strong proficiency in SQL, Python, and data modeling techniques is required.
- Strong knowledge of data extraction patterns and best practices is required.
- A solid understanding of dimensional modeling and its application in analytics is required.
- Working knowledge of implementing artificial intelligence in the data engineering lifecycle is required.
- Experience in client-facing roles is required.
- Familiarity with advanced analytics tools and concepts, including machine learning workflows, is required.
- Knowledge of data visualization tools such as Power BI is required.
- Experience with Agile methodologies for project management is required.
- Manage technology architecture, standards, and design patterns to ensure alignment between business goals and technology strategy, collaborating with business leaders to analyze and capture business needs.
- Analyze solution designs, blueprints, and architecture decision records.
- Evaluate technology alternatives for strategy and solution proposals, including build-versus-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.
- Ensure compliance with all policies and standards, as well as state, federal, and other regulatory bodies.
- Collaborate with stakeholders to design and implement scalable data engineering solutions.
- Design data pipelines that ensure efficient extraction, transformation, and loading processes for structured and unstructured data.
- Apply best practices in dimensional modeling to create robust and scalable data models for analytics and reporting.
- Use Python, SQL, and 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 Amazon Web Services cloud infrastructure, including networking and security configurations.
- Collaborate with analytics and business intelligence teams to integrate 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.
PDS Health is a healthcare support organization serving dental and medical practices. The company provides business, technology, clinical, administrative, and operational services that help affiliated practices deliver integrated care. It serves patients, clinicians, practice owners, healthcare teams, and communities across its supported network. Its operating model centers on locally led practices connected through shared technology, revenue-cycle, supply-chain, talent, and administrative services. Teams work across clinical care, practice operations, technology, billing, procurement, recruiting, training, and patient support. Teams support coordinated daily delivery.
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