Senior Data Architect

Senior Data Architect (Warren, NJ, 07059) | 04/02/26 Job Description 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. 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. Senior Data Architect1Data Architecture Full TimeUnited States