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.