Senior Big Data Architect - Hybrid Analytics Leader

Placements24

Upington

Hybrid

ZAR 1,000,000 - 1,600,000

Full time

42 hours ago
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Benefits offered by this job

Bonuses
Medical aid
Retirement fund
Annual leave
Hybrid work
Learning & certs
Exposure to cutting-edge tech
Team environment

Job summary

Placements24 in Upington, Northern Cape seeks a Senior Solutions Architect - Big Data & Analytics to design and implement scalable data platforms in a hybrid role blending remote work with in-office collaboration.

You will lead data modeling, ETL/ELT pipelines, and cloud-based architectures across AWS/Azure/GCP, partnering with data scientists and engineers to translate complex requirements into robust solutions.

Qualifications

  • Master's degree required in a quantitative field.
  • 8+ years in data architecture/engineering with big data focus.
  • Hands-on design/implementation of cloud-based big data solutions.
  • Strong SQL and NoSQL understanding; Spark experience.
  • Experience with data warehousing, data models, ETL/ELT pipelines.

Responsibilities

  • Design scalable, end-to-end big data solutions on cloud platforms (AWS/Azure/GCP).
  • Develop data models for data warehousing, lakes, and analytics databases.
  • Oversee ETL/ELT pipelines for ingestion, transformation, and processing.
  • Evaluate big data tech and frameworks (Spark, Hadoop, Kafka).
  • Collaborate with data scientists and analysts to enable advanced analytics.

Skills

Analytical thinking
Problem-solving
Communication skills

Education

Master's degree in Computer Science, Data Science, Engineering, or related quantitative field

Tools

AWS EMR
S3
Glue
Azure Data Factory
Synapse Analytics
GCP Dataproc
BigQuery
Tableau
Power BI

Job description

Placements24 in Upington, Northern Cape seeks a Senior Solutions Architect - Big Data & Analytics to design and implement scalable data platforms in a hybrid role blending remote work with in-office collaboration.

You will lead data modeling, ETL/ELT pipelines, and cloud-based architectures across AWS/Azure/GCP, partnering with data scientists and engineers to translate complex requirements into robust solutions.

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