Cloud Data Platform Architect — Hybrid 12-Month Contract

MassGenics, Inc.; Jersey City (NJ); Hybride; USD 96 000 - 101 000; Plein temps

Résumé du poste

Innova Solutions is seeking a seasoned Data Platform Architect to lead modernization of a large enterprise data ecosystem. The role focuses on defining architecture for on-prem and cloud transformations, leveraging Databricks, Spark, Kafka, and AWS to enable scalable analytics.

The candidate will collaborate across engineering, infrastructure, architecture, and business teams to craft the future-state data platform strategy and drive migrations.

Qualifications

• 10+ years of experience in data platform architecture, data engineering, or distributed systems.
• Proven experience leading enterprise-scale cloud migration initiatives with hundreds of TBs or PBs of data.
• Strong background in Databricks, Spark, Kafka, and AWS cloud services.
• Experience migrating data from Vertica, Hadoop, Teradata, Oracle, Snowflake, or similar.

Responsabilités

• Define target-state architecture for enterprise data platforms and cloud-native analytics.
• Lead migration of large-scale data environments from on-prem to cloud.
• Design scalable, secure, resilient data architectures for petabyte workloads.
• Establish standards, governance, and engineering best practices.
• Provide technical leadership for Spark, Kafka, Databricks, and cloud services.

Connaissances

Databricks

Apache Spark

Apache Kafka

AMPS, MQ, Hadoop

AWS cloud services

Large-scale data warehouse

Data migration (cloud/on-prem)

Java

Python

SQL

OOP languages

Data governance & security

Formation

Bachelor's Degree

Outils

Vertica

Snowflake

Teradata

Oracle

Hadoop

Description du poste

Innova Solutions is seeking a seasoned Data Platform Architect to lead modernization of a large enterprise data ecosystem. The role focuses on defining architecture for on-prem and cloud transformations, leveraging Databricks, Spark, Kafka, and AWS to enable scalable analytics.

The candidate will collaborate across engineering, infrastructure, architecture, and business teams to craft the future-state data platform strategy and drive migrations.