E-Solutions

Senior Data Architect

Company : E-Solutions

Location : Dunellen, NJ, 08812

Job Type : Full Time

Date Posted : 16 August 2026

Job Summary

We are seeking a highly experienced Senior Data Architect with expertise in both Microsoft Azure and AWS to lead the design, implementation, and optimization of enterprise-scale data platforms. The ideal candidate will define cloud data strategy, architect robust Data Lakes and Lakehouse solutions, oversee migration and modernization programs, and provide leadership to cross-functional teams on advanced analytics, AI/ML, and business intelligence initiatives.

This role demands deep knowledge of cloud-native architectures, data governance, Big Data engineering, and multi-cloud deployment best practices.

Key Responsibilities

Multi-Cloud Architecture: Design and implement enterprise-grade data solutions across Azure and AWS environments.
Data Platforms: Architect modern Data Lakes, Lakehouse, and Data Warehouse solutions for batch and real-time data processing.
Data Migration & Modernization: Lead large-scale data migration initiatives, including on-premise to cloud, cloud-to-cloud, and legacy DW to modern platforms.
Data Pipeline Design: Build scalable ETL/ELT pipelines leveraging cloud-native tools and distributed processing frameworks.
Governance & Security: Establish data governance frameworks, access control policies, security best practices, and compliance for cloud environments.
Performance & Cost Optimization: Monitor and optimize performance, storage, and cost of cloud data workloads.
Technical Leadership: Guide and mentor data engineers, architects, and analytics teams; provide technical reviews and establish best practices.
Stakeholder Collaboration: Work closely with business, analytics, AI/ML, and IT teams to translate business requirements into scalable technical solutions.

Required Technical Skills

Azure Expertise

Azure Data Factory
Azure Synapse Analytics
Azure Data Lake Storage
Azure Databricks
Azure SQL Database

AWS Expertise

Amazon S3
AWS Glue
Amazon Redshift
Amazon EMR
AWS Lambda

Other Key Skills

Strong foundation in Big Data engineering concepts, distributed computing, Spark, partitioning strategies.
Expertise in Data Lakes, Lakehouse, and Data Warehouses.
Proficiency in SQL, Python, and Spark.
Experience with real-time streaming frameworks (Kafka, Kinesis, Event Hub).
Infrastructure as Code experience (Terraform, CloudFormation, ARM Templates).
Deep understanding of cloud security, IAM/RBAC, encryption, networking, and compliance.
Experience implementing CI/CD pipelines for data solutions.

Nice to Have

Domain Experience: Insurance, Banking, or Healthcare, including policy, claims, underwriting, actuarial, or regulatory reporting.
Large-scale data migration & modernization experience.
Exposure to AI/ML integration and advanced analytics architecture.
Knowledge of multi-cloud strategy and hybrid-cloud architectures.
Familiarity with containerization and Kubernetes.
Enterprise architecture experience (TOGAF or equivalent).

Preferred Certifications

Microsoft Certified: Azure Solutions Architect Expert
Microsoft Certified: Azure Data Engineer Associate
AWS Certified Solutions Architect - Professional
TOGAF or equivalent (Optional)

Leadership & Soft Skills

Strong stakeholder management and communication skills.
Ability to lead cross-functional technical teams and drive architectural governance.
Strategic thinking with focus on execution and delivery.

Mentorship and coaching experience for junior and mid-level data engineers and architects. Job Summary

We are seeking a highly experienced Senior Data Architect with expertise in both Microsoft Azure and AWS to lead the design, implementation, and optimization of enterprise-scale data platforms. The ideal candidate will define cloud data strategy, architect robust Data Lakes and Lakehouse solutions, oversee migration and modernization programs, and provide leadership to cross-functional teams on advanced analytics, AI/ML, and business intelligence initiatives.

This role demands deep knowledge of cloud-native architectures, data governance, Big Data engineering, and multi-cloud deployment best practices.

Key Responsibilities

Multi-Cloud Architecture: Design and implement enterprise-grade data solutions across Azure and AWS environments.
Data Platforms: Architect modern Data Lakes, Lakehouse, and Data Warehouse solutions for batch and real-time data processing.
Data Migration & Modernization: Lead large-scale data migration initiatives, including on-premise to cloud, cloud-to-cloud, and legacy DW to modern platforms.
Data Pipeline Design: Build scalable ETL/ELT pipelines leveraging cloud-native tools and distributed processing frameworks.
Governance & Security: Establish data governance frameworks, access control policies, security best practices, and compliance for cloud environments.
Performance & Cost Optimization: Monitor and optimize performance, storage, and cost of cloud data workloads.
Technical Leadership: Guide and mentor data engineers, architects, and analytics teams; provide technical reviews and establish best practices.
Stakeholder Collaboration: Work closely with business, analytics, AI/ML, and IT teams to translate business requirements into scalable technical solutions.