Senior Data Governance Consultant

EXL; New Jersey; On-site; USD 120,000 - 150,000; Full time

Job summary

A leading analytics services company is looking for a Senior Data Architect based in New Jersey. This role involves designing and implementing enterprise-scale data solutions using Microsoft Azure and AWS. The ideal candidate will lead data migration initiatives, establish data governance frameworks, and provide technical leadership to various teams on analytics and AI/ML projects. Strong expertise in cloud-native architectures, Big Data engineering, and multi-cloud strategy is essential. Certifications in Azure and AWS are preferred.

Qualifications

• Experience with multi-cloud architecture, particularly Azure and AWS.
• Strong skills in building scalable ETL/ELT pipelines.
• Ability to lead data migration initiatives.

Responsibilities

• Design and implement enterprise-grade data solutions across Azure and AWS.
• Lead large-scale data migration initiatives.
• Establish data governance frameworks and security best practices.

Skills

AWS Expertise

Cloud-native architectures

Data governance

Big Data engineering

SQL

Python

Spark

Education

Microsoft Certified: Azure Solutions Architect Expert

AWS Certified Solutions Architect – Professional

Tools

Amazon S3

AWS Glue

Amazon Redshift

Amazon EMR

AWS Lambda

Terraform

CloudFormation

Job description

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.