Enterprise Data Architecture Lead

5 days ago


Lahore, Punjab, Pakistan Confiz Full time

We are seeking an experienced professional to lead our enterprise data architecture, integrating Big Data platforms and designing innovative analytics solutions. This role involves collaborating with cross-functional teams, fostering a culture of collaborative problem-solving and sophisticated design.

Responsibilities:
  1. Foster the development and maintenance of the enterprise Big Data platform, ensuring alignment with business goals.
  2. Collaborate with Data Engineers, Business Analysts, and BI engineers to architect and deliver high-quality solutions that meet business information needs.
  3. Ensure the design, code, and procedural aspects of the solution are production-ready, meeting operational, security, and compliance standards.
  4. Participate in day-to-day project and production delivery status meetings, providing technical support for faster resolution of issues.
  5. Cultivate continuous learning and training/mentoring future big data developers and architects.
  6. Design and implement scalable, near real-time data ingestion pipelines to enable low-latency data processing and analytics.
  7. Architect and optimize data streaming solutions to handle high-throughput, distributed systems while ensuring data consistency, reliability, and fault tolerance in near real-time workflows.
Qualifications:
  1. 14 years of experience in enterprise data architecture, integration, and analytics, with a proven track record of design and implementation of big data and analytics solutions.
  2. Experience leading a team of Data Engineers and BI Developers.
  3. Bachelor's degree in computer science or relevant field from an accredited college or university; Master's degree from an accredited college or university preferred.
  4. Strong technical experience in the following areas:
  • Big data stack and solutions, including cloud technologies.
    • Data lake architecture, including data model design and implementation (relational, dimensional, and No-SQL).
    • Enterprise Application and Data Integration design and implementation (ETL, messaging, replication, and APIs).
    • Telco Domain Experience
    • Azure Solutions Architect Certification
    • Azure Data Lake, Azure Data Factory, Databricks, Azure SQL, Apache NiFi, Azure Synapse, Power BI
  • Awareness of Data management best practices (data quality, metadata management, data lineage).
  • Awareness of Machine Learning techniques is beneficial.
  • Willingness to travel to the UK (up to 25% travelling may be required).


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