Enterprise Data Strategist

18 hours ago

Bahawalpur City Tehsil, Pakistan beBeeData Full time $100,000 - $150,000
Enterprise Data Architect Position

This is a remote opportunity. We seek an experienced professional to lead the design, development, and maintenance of our enterprise Data Platform. The ideal candidate will collaborate with cross-functional teams across various platform layers, ensuring a scalable, secure, and high-performance data infrastructure.

About the Role
  • 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 professionals to implement high-quality, production-ready solutions.
  • Design and implement modern data architectures, including data lakes, data warehouses, and real-time streaming solutions, leveraging cloud 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.
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.
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.
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Information Technology
Industries
  • IT Services and IT Consulting

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