Data Engineering Architect

We are seeking a highly experienced Data Engineering Architect to design, architect, and modernize large-scale data processing and engineering solutions within an enterprise environment. This is a hands-on architecture role for a candidate who can balance technical depth with business alignment, transforming high-volume data platforms and enabling the organization to derive actionable insights from billions of data records., * Design and architect high-volume, low-latency, highly resilient data processing platforms

• Lead the development and modernization of Apache Spark-based data processing ecosystems
• Architect and implement solutions using Databricks for data processing, transformation, and analytics
• Design end-to-end data pipelines covering ingestion, transformation, processing, storage, and distribution
• Work with Apache Kafka and other streaming technologies to build reliable data ingestion pipelines
• Develop and architect data lake/lakehouse solutions using technologies such as Apache Iceberg and Apache Parquet
• Evaluate existing data architecture to improve performance, scalability, resiliency, and cost efficiency
• Partner with application, infrastructure, cloud, and engineering teams to define and implement enterprise data solutions
• Provide technical leadership and architectural guidance while remaining hands-on with solution design
• Drive architectural best practices across development and platform teams

• Enterprise Application Architecture experience with strong system design and solution architecture expertise
• Deep hands-on expertise with Apache Spark and Databricks
• Proficiency in Python, Scala, and/or Java
• Experience with Apache Kafka, Apache Iceberg, and Apache Parquet
• Proven experience with distributed data processing, data pipelines (ETL/ELT), and data lake/lakehouse architecture
• Experience in Java-based enterprise environments
• SQL and distributed system architecture experience
• AWS cloud architecture knowledge
• Strong communication and leadership skills

Desired skills:

• Cloud data platforms and cloud-native architectures
• Experience with APIs and data services
• Knowledge of Kubernetes or containerized environments
• Familiarity with Terraform or Infrastructure as Code
• Experience with CI/CD, DevOps, streaming, and event-driven architectures
• Experience with large-scale modernization or migration programs
• Financial services industry experience

Genesis10 is currently seeking a Data Engineering Architect for a contract position with a Global Financial Institution located in Jersey City, NJ. This is a 12+ month contract opportunity., Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals.

For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10:

• Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years.
• The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years.
• Access to an experienced, caring recruiting team (more than 7 years of experience, on average.)
• Behavioral Health Platform
• Medical, Dental, Vision
• Health Savings Account
• Voluntary Hospital Indemnity (Critical Illness & Accident), For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website.