Data Platform Architect

General Summary

Provides technical leadership for enterprise data platform design, operational architecture, platform standards, environment strategy, and platform modernization. Translates enterprise architecture direction into secure, reliable, scalable, and operationally viable platform designs that support data engineering, analytics, artificial intelligence, machine learning, business intelligence, and reusable enterprise data products across business domains.

Qualifications

Minimum Education:

- High School Diploma or GED Required

Work Experience:

- 10+ years Required

Courses and Training:

- Databricks Data Engineer Associate/Professional or equivalent cloud data certification Upon Hire Preferred
- Microsoft Power BI Data Analyst Associate or equivalent BI certification Upon Hire Preferred

Knowledge, Skills, and Abilities:

- Advanced knowledge of enterprise data platform architecture, data lakes, lakehouse and warehouse designs, distributed computing, real-time data distribution, integration, metadata, and platform operating models
- Proficiency designing modern cloud data architectures using Azure, AWS, or Google Cloud and platforms such as Databricks, Snowflake, Apache Spark, Kafka, Hadoop, Oracle, relational databases, and NoSQL technologies
- Strong understanding of security and access architecture, privacy, networking, identity, encryption, secrets management, data protection, governance, catalog capabilities, and enterprise risk controls
- Knowledge of platform engineering practices including environment and workspace strategy, continuous integration and delivery, source control, automated testing, observability, monitoring, reliability, and disaster recovery
- Ability to create architecture roadmaps, standards, reference patterns, decision records, technical designs, and reusable services that simplify the technology landscape and align platform capabilities with business needs
- Ability to evaluate traditional and emerging data and AI technologies, identify architectural tradeoffs, and recommend solutions based on strategic fit, interoperability, scalability, reliability, security, readiness, and cost

Benefits Offered:

- Comprehensive health benefits
- Flexible spending and health savings accounts
- Retirement savings plan
- Paid time off (PTO)
- Short-term disability
- Education assistance
- Financial education and support, including DailyPay
- Wellness and Wellbeing programs
- Caregiver support via Wellthy
- Childcare referral service via Wellthy