Data Architect

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.