Enterprise Big Data Architect

1 day ago

Sahiwal, Punjab, Pakistan beBeeData Full time $80,000 - $150,000
Senior Data Architect Role

We are seeking a seasoned Senior Data Architect to lead the design, development, and maintenance of our enterprise data platform. You will collaborate with cross-functional teams across various platform layers, ensuring a scalable, secure, and high-performance data infrastructure.

Key Responsibilities:
  • Develop a comprehensive roadmap for the enterprise big data platform, focusing on scalability, reliability, and cost efficiency.
  • Design end-to-end data solutions that meet business intelligence and analytics needs while adhering to 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.
  • Implement modern data architectures, including data lakes, data warehouses, and real-time streaming solutions, leveraging AWS and Azure technologies.
  • Build and optimize data ingestion pipelines, ensuring low-latency, high-throughput data processing for analytics and operational reporting.
  • Architect and manage data streaming solutions using Kafka, Kinesis, Apache Flink, or Spark Streaming, ensuring fault tolerance, consistency, and efficiency in real-time workflows.
  • Evaluate and enforce data security, governance, and compliance across all platforms, integrating IAM, encryption, access control, and data lineage tracking.
  • Collaborate with stakeholders to define data integration strategies, including ETL, API-based data exchange, and event-driven architectures.
  • Implement automation and DevOps best practices for data pipeline deployment and monitoring, using Terraform, CloudFormation, and CI/CD pipelines.
  • Stay up-to-date with industry 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.
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.
Employment Type:
  • Full-time
Job Function:
  • Information Technology
Industries:
  • IT Services and IT Consulting

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