Data Platform Architect

Job Summary: Data Platform Architect (Databricks)

Location: Jersey City, NJ or New York City (Hybrid: 3 days onsite)

About the Role
Join a forward-thinking enterprise as a Data Platform Architect and spearhead the modernization of our mission-critical data ecosystem. You will architect and implement cutting-edge, cloud-native data platforms at petabyte scale, collaborating with cross-functional teams in a dynamic, high-impact environment. This role empowers you to drive innovation using Databricks, Spark, and leading cloud technologies while influencing the future-state data strategy of a global organization.

Responsibilities

- Define and execute the architecture for large-scale, cloud-native enterprise data platforms
- Lead complex data migrations from on-premises systems to AWS, Azure, or GCP cloud environments
- Design secure, resilient, and scalable data architectures leveraging Medallion Architecture and lakehouse principles
- Set architectural standards, governance frameworks, and engineering best practices across the organization
- Collaborate with infrastructure, security, and business teams to ensure alignment with enterprise cloud strategies
- Evaluate, recommend, and implement technologies for data storage, processing, streaming, and observability
- Provide technical leadership and mentorship to engineering teams utilizing Spark, Kafka, Databricks, and cloud-native services
- Drive platform performance optimization, cost management, and operational excellence
- Advise executives on migration roadmaps, risk assessments, and data platform modernization strategies

Required Skills and Experience

- 10+ years experience in data platform architecture, data engineering, or distributed systems
- Proven leadership in enterprise-scale cloud migration initiatives involving massive data volumes
- Advanced expertise in Databricks, Apache Spark, Apache Kafka, AWS, and large-scale data warehouse/lakehouse platforms
- Proficiency in schema design (star/snowflake), fact/dimension modeling, SCDs, and data warehousing fundamentals
- Strong programming skills in Java, Python, and SQL
- In-depth knowledge of data governance, security, compliance, and operational monitoring
- Experience migrating from legacy platforms such as Vertica, Hadoop, Teradata, Oracle, or Snowflake
- Bachelor's degree in Computer Science, Engineering, or related field

Preferred Skills

- Databricks and AWS Solutions Architect certifications
- Experience designing and implementing lakehouse architectures and real-time analytics platforms
- Background in highly regulated financial services or enterprise environments
- Master's degree in a related field

Benefits

- Career growth with leadership opportunities in a transformative enterprise data initiative
- Exposure to the latest technologies in cloud, data engineering, and analytics
- Collaborative, high-performing work environment
- Competitive compensation and benefits package
- Hybrid work model with prime office locations

How to Apply
Ready to architect the next-generation data platform? Submit your application today and become a key driver of our data transformation journey.