Data Platform Architect

Indotronix International Corporation • Jersey City, NJ

13h • Hybrid

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior