Data Architect/Contractor

This is a remote position.

We seek an experienced Data Architect to lead the design, development, and maintenance of our enterprise Data Platform . You will collaborate with Data Engineers, BI Engineers, and Data Business Analysts across various platform layers, ensuring a scalable, secure, and high-performance data infrastructure. This role requires a deep understanding of cloud-based big data ecosystems (AWS & Azure), real-time data processing, and enterprise data governance.

• Lead the roadmap and enhancements for the enterprise Big Data Platform , ensuring scalability, reliability, and cost efficiency.
• Architect end-to-end data solutions that fulfill business intelligence and analytics needs while ensuring best practices in security, compliance, and operational efficiency .
• Lead and mentor a team of Data Engineers, BI Engineers, and Cloud Architects to implement high-quality, production-ready solutions.
• Design and implement modern data architectures , including data lakes, data warehouses, and real-time streaming solutions , leveraging both AWS and Azure technologies.
• Build and optimize scalable, near real-time data ingestion pipelines , ensuring low-latency, high-throughput data processing for analytics and operational reporting.
• Architect and manage data streaming solutions using technologies such as Kafka, Kinesis, Apache Flink, or Spark Streaming , ensuring fault tolerance, consistency, and efficiency in real-time workflows.
• Ensure data security, governance, and compliance across all platforms, integrating IAM, encryption, access control, and data lineage tracking .
• Collaborate with stakeholders to define and implement data integration strategies , including ETL, API-based data exchange, and event-driven architectures .
• Drive automation and DevOps best practices for data pipeline deployment and monitoring, using tools such as Terraform, CloudFormation, and CI/CD pipelines .
• Stay updated with the latest big data, cloud, and AI/ML advancements , and incorporate them into the organization's data strategy .

Requirements

• 10+ years of experience in enterprise data architecture, integration, and analytics , with a strong track record in big data solutions .
• Experience in leading and mentoring teams of Data Engineers and BI Developers.
• Bachelor’s/Master’s degree in Computer Science, Data Engineering, or a relevant field from an accredited institution.
• Strong hands-on experience with:
• Big Data and Cloud Solutions on AWS & Azure , including data lakes, data warehouses, and scalable analytics platforms .
• Data modeling (relational, dimensional, NoSQL) and best practices for high-performance data systems .
• Enterprise data integration (ETL, messaging, streaming, APIs) with tools like Apache NiFi, AWS Glue, Azure Data Factory, Airflow, or Informatica .
• Data pipeline orchestration and event-driven architectures using Apache Spark, AWS Lambda, Azure Functions, Kinesis, or Kafka .
• Cloud security & governance frameworks (IAM, RBAC, encryption, GDPR, HIPAA, SOC2).
• BI & Analytics Tools : Power BI, AWS QuickSight, Tableau.
• Machine Learning & AI : Awareness of AI/ML principles and integration into data pipelines is a plus.

Preferred Certifications:

• Microsoft Certified: Azure Solutions Architect Expert
• AWS Certified Data Analytics – Specialty

Nice-to-Have Skills:

• Experience with Graph databases, Data Mesh architecture, and knowledge graphs .
• Hands-on experience with containerized & serverless architectures (Docker, Kubernetes, AWS Fargate).
• Experience working with real-time anomaly detection and predictive analytics .