Chief Data Architect

1 day ago


Karachi, Sindh, Pakistan beBeeData Full time $200,000 - $250,000
Job Overview

This is a remote position.

Key Responsibilities:
  • Lead the roadmap and enhancements for enterprise big data platforms, 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 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.
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

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