Data Architect

EXL; New Jersey; On-site; USD 120,000 - 160,000; Full time

Job summary

A leading data solutions firm is looking for an experienced Senior Data Architect to design and optimize enterprise-scale data platforms. This role requires expertise in both Azure and AWS, leading large-scale data migrations, and establishing governance frameworks. The ideal candidate will have over 10 years of experience in data architecture and engineering, with proficiency in SQL, Python, and diverse cloud technologies. Strong leadership and stakeholder management skills are essential.

Qualifications

• 10+ years of experience in data architecture and engineering.
• Deep knowledge of cloud-native architectures and data governance.
• Experience leading cross-functional teams on data initiatives.

Responsibilities

• Design and implement multi-cloud architecture for data solutions.
• Lead large-scale data migration initiatives.
• Establish governance frameworks and compliance for cloud environments.
• Mentor data teams and drive architectural governance.

Skills

AWS Expertise

SQL

Python

Big Data engineering concepts

Real-time streaming frameworks

Infrastructure as Code

Stakeholder management

Education

Microsoft Certified: Azure Solutions Architect Expert

AWS Certified Solutions Architect – Professional

TOGAF or equivalent

Tools

Amazon S3

AWS Glue

Amazon Redshift

Amazon EMR

AWS Lambda

Terraform

Kubernetes

Job description

Location: Warren, New Jersey, 3-4 days in office

Experience: 10+ Years

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

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.
• 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
• 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.