Senior Data Architect: Cloud Modernization & Data Mesh Lead

Mphasis; New York (NY); On-site; USD 130,000 - 150,000; Full time

Job summary

A technology company is seeking a visionary Senior Data Architect to lead an enterprise-wide data transformation in New York. This role entails designing a strategy for migrating legacy data infrastructures into modern cloud-native environments. Candidates should possess over 10 years in Data Architecture and expert-level proficiency in AWS, Azure, or GCP. Responsibilities include creating blueprints for ELT/ETL pipelines and optimizing data movement across hybrid clouds. Join us to innovate in data solutions.

Qualifications

• 10+ years in Data Architecture/Engineering; 5+ years leading large-scale cloud migrations.
• Expert-level proficiency in AWS (Lake Formation/Glue), Azure (Synapse/Fabric), or GCP (BigQuery/Dataflow).
• Strong understanding of legacy patterns and how to decouple them.

Responsibilities

• Design and execute the strategy to migrate from legacy RDBMS and mainframes to modern Data Lakehouses.
• Define the 'Modern Data Plane' architecture, ensuring seamless integration across environments.
• Create reusable 'Blueprints' for ELT/ETL pipelines and real-time streaming architectures.

Skills

Data Architecture

Cloud Migration

AWS

Azure

GCP

Data Mesh

Data Fabric

ELT/ETL Pipelines

Kafka

Job description

A technology company is seeking a visionary Senior Data Architect to lead an enterprise-wide data transformation in New York. This role entails designing a strategy for migrating legacy data infrastructures into modern cloud-native environments. Candidates should possess over 10 years in Data Architecture and expert-level proficiency in AWS, Azure, or GCP. Responsibilities include creating blueprints for ELT/ETL pipelines and optimizing data movement across hybrid clouds. Join us to innovate in data solutions.