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Senior Specialist: Cloud Data Architect at Vodafone United States

Cape Town, Western Cape, South Africa -

Full Time

Start Date

Immediate

Expiry Date

05 Jan, 26

Salary

0.0

Posted On

07 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Data Architecture, SQL, Data Modelling, Data Integration, Big Data, Analytics, Data Warehousing, Data Lakes, Data Quality, Master Data Management, Governance Frameworks, Real-Time Processing, Batch Processing, Cloud Solutions, Data Profiling, Business Intelligence

Industry

Telecommunications

Description

Architectural Direction - Own decisions on the overall design and architectural approach for enterprise data and analytics solutions. Expert-level proficiency in SQL, including complex query design, performance optimization, data modelling, and integration across cloud platforms and BI tools to support advanced analytics and business decision-making. Able to analyse complex use cases to model and interpret data through critical thinking. Deep subject matter knowledge of data staging, data lakes, data warehousing, data marts and operational data stores, big data, and analytics as applicable to the telecoms business domain is essential. Experience with modern data processing and analytics technologies such as Big Query, Redshift, Teradata, Exadata, Abinitio, Cloudera, etc. Demonstrated expertise in implementing and managing IT controls within an analytics environment, including proficiency in ensuring data integrity, system reliability, and compliance with relevant governance frameworks and risk mitigation practices. Experience working high-volume data and file processing (real-time and batch processing). Advantageous Big Data knowledge (Hadoop, Map Reduce, Spark, Kafka, etc.) Experience architecting and designing cloud & big data solutions Experience with Analytics production implementations in the Cloud (AWS, GCP) Broad understanding of governance best practices for analytics platforms, data warehousing and business intelligence. Experience with Data Quality/Data Profiling, Metadata Integration, Master Data Management.

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Responsibilities

Own decisions on the overall design and architectural approach for enterprise data and analytics solutions. Ensure data integrity, system reliability, and compliance with relevant governance frameworks.