Staff Data Platform Architect
Health Union Llc
Philadelphia, PA (In Person)
$132,500 Salary, Full-Time
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Job Description
- 4.0 Philadelphia, PA Job Details Full-time $125,000
- $140,000 a year 6 hours ago Benefits Paid holidays Health insurance Dental insurance 401(k) Paid time off Vision insurance Qualifications Data model design Performance tuning Data storage Data Integration (Data management) Machine learning/AI-based analysis Adtech Continuous Delivery (CD) implementation Cloud data warehouses Data modeling projects 5 years Spark AWS Certification System design NoSQL AWS Certified Solutions Architect•Associate Scalable systems Infrastructure architecture Quality assurance within IT Snowflake SQL Information security compliance Team development Technical solutions implementation Data Architecture Design (Architecture design skills) AWS Spark implementation Solution architecture design IT experience within healthcare Data quality monitoring Improving database performance Mentoring Data analytics Scalability Cloud Architecture Design (Architecture design skills) Martech Data validation Senior level
AI Microsoft Certified:
Azure Data Engineer Associate Cross-functional collaboration Leadership Communication skills Python Cross-functional communication AWS Certified Solutions Architect•Professional Full Job Description Job Title:
Staff Data Platform Architect Location :
Philadelphia, PA Health Union powers the first and largest community-based activation and data platform, transforming healthcare by providing unparalleled support, information, and validation for millions navigating complex health conditions and their care teams. With over 125+ condition-specific online communities and 15 years of community leadership, Health Union's authentic engagements fuel the company's robust suite of endemic media, influencer marketing, market research, and data solutions, driving proven outcomes for patients, HCPs, and brands.Position Overview:
The Staff Data Platform Architect is a highly hands-on, high-impact role centered on execution and technical leadership. You will be the technical leader, translating the technical direction and designs set by our leadership into deployed, highly functional data platforms. Your primary mission is to ensure our vision for enterprise data is realized efficiently and reliably in production. To achieve this, you will design and implement scalable data solutions primarily using AWS and Snowflake, but also incorporating other tools as necessary, given our evolving data ecosystem. You will guide the Data Team and partner across the organization to deliver reliable, high-quality data platforms. This role requires exceptional coordination skills to bridge communication and execution across engineering teams, as well as with critical cross-functional partners.What You Do:
Move fluidly between high-level architecture and hands-on implementation, translating data platform strategy and roadmap into clear, actionable technical designs. Architect and implement scalable data solutions using AWS and Snowflake, including pipelines, storage layers, and data models for analytics, operational, and AI enablement use cases. Design, implement, and evolve a clean, consolidated core data platform architecture across AWS, Snowflake, dbt, and integrated systems by eliminating redundancy and optimizing for performance, cost, and efficiency. Define authoritative standards for data ingestion, transformation, data modeling, and pipeline development, including ingestion frameworks and tooling, to deliver scalable, resilient, and efficient data movement. Establish and enforce data quality standards, ensuring freshness, completeness, and reliability through validation, monitoring, and observability. Solve complex technical challenges with innovation and proactive problem-solving, including cross-system architecture, Snowflake workload optimization, pipeline reliability, and integrating new data sources and applications into the unified platform. Collaborate across Data, Product, Engineering, and Business teams to deliver aligned, high-impact solutions. Define and promote best practices for data modeling, pipeline design, and platform architecture. Ensure systems meet security, governance, and compliance requirements and are production-ready. Mentor and guide engineers on architecture, design decisions, and engineering best practices, and translate architectural direction into actionable guidance for engineers on complex or high-leverage projects.What You Bring:
8+ years of experience in data engineering or data platform architecture. 5+ years of hands-on experience designing and evolving unified data platforms built on AWS and Snowflake, with a proven track record of consolidating complex multi-system environments into clean, maintainable architectures. Experience in healthcare, ad tech, programmatic audiences, or related industries is a plus. Deep expertise across data ingestion, transformation, data modeling, and pipeline development, including relational and non-relational databases, data streams, file stores, dbt, Apache Airflow, Python, Spark, and advanced SQL. Strong command of performance tuning, query optimization, and the ability to define and enforce rigorous engineering standards and quality assurance processes across the platform. Experience implementing CI/CD practices for data pipelines and platform infrastructure. Understanding of data security, governance, and compliance principles as they apply to platform architecture. Demonstrated ability to translate data strategy into architectural designs and implementation plans, and lead technical initiatives. Strong communication and teamwork skills, with the ability to operate effectively across engineering, cross-functional, and leadership audiences, and elevate the engineers around you through mentorship and technical guidance. A self-motivated, innovative mindset to proactively identify problems, frame solutions, and drive outcomes without waiting to be directed. Experience supporting advanced analytics, machine learning, and AI use cases, with enthusiasm for adopting AI tools across the development lifecycle and user-facing solutions. AWS and Snowflake certifications, such asAWS Certified Data Engineer Associate, AWS Certified Solutions Architect Professional, SnowPro Advanced:
Architect, or SnowPro Advanced:
Data Engineer, are a strong advantage. Annual base salary for positions at this level and job group is $125,000- $140,000, and your base pay will depend on the qualifications, experience, skills, and competencies required for this job.
HEALTH UNION REALLY IS THE BEST PLACE TO WORK
As a dynamic organization that offers flexible work options, we foster a workplace that encourages an authentic, respectful culture of teaching and learning. We work hard and save space to form close-knit relationships that are meaningful to us individually. Health Union also offers top-tier benefits and other perks to full-time employees, starting day one. We cultivate a dynamic, collaborative work environment that values inclusion, community, excellence, and transparency. But don't just take our word for it: The Philadelphia Inquirer, Philadelphia Business Journal, Inc., and Forbes have all named Health Union a "best place to work- and we take pride in living up to that hype every day.
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