
Data Analytics Director
6 days ago
We are seeking a seasoned professional to lead our Big Data platform's design, development, and maintenance as a Cloud Technology Expert. In this role, you will collaborate with data engineers and Big Data Business Analysts across various platform layers, demonstrating a commitment to collaborative problem-solving, sophisticated design, and delivering high-quality products.
Key Responsibilities:- Develop and maintain the enterprise Big Data platform, ensuring alignment with business goals.
- Collaborate with Data Engineers, Business Analysts, and BI engineers to architect and deliver high-quality solutions that meet business information needs.
- Ensure the design, code, and procedural aspects of the solution are production-ready, meeting operational, security, and compliance standards.
- Participate in day-to-day project and production delivery status meetings, providing technical support for faster resolution of issues.
- Cultivate continuous learning and training/mentoring future big data developers and architects.
- Design and implement scalable, near real-time data ingestion pipelines to enable low-latency data processing and analytics.
- 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.
- 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.
- Experience leading a team of Data Engineers and BI Developers.
- 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.
- 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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