South Africa: Intermediate to Senior Sigma Computing Consultant (Snowflake and/or Databricks)

About the Role Our client is seeking an experienced Sigma Computing Consultant with solid data platform expertise in Snowflake and/or Databricks. This role bridges analytics, business intelligence, and modern data engineering helping clients design and implement insightful, scalable data solutions using Sigma Computings cloud-native BI platform integrated into enterprise ecosystems. Youll collaborate closely with data engineers, architects, and business stakeholders to develop powerful, self-service analytics environments leveraging governed data models and advanced data warehouse capabilities. Key Responsibilities Design, configure, and maintain Sigma Computing dashboards, datasets, and workbooks aligned with business KPIs and data governance principles. Integrate Sigma with data sources such as Snowflake, Databricks Delta Lake, and cloud data lakes. Collaborate with data teams to optimize SQL queries, semantic models, and data pipelines for performance and cost efficiency. Translate business requirements into analytical solutions, ensuring accuracy, scalability, and usability across stakeholders. Develop reusable data templates, reporting frameworks, and best practices for Sigma deployments. Support data access, permissions, and governance policies across BI layers. Troubleshoot and optimize BI queries, data refresh performance, and connector integrations. Mentor junior analysts and assist with client enablement in Sigma adoption and best practices. Skills and Experience Required: 37 years of experience in data analytics, BI development, or data engineering. Strong hands-on experience with Sigma Computing (or similar self-service BI tools such as Looker, Tableau, or Power BI). Expert-level SQL skills with real-world experience building analytics in Snowflake or Databricks. Understanding of data modeling, star schemas, and semantic layers. Solid knowledge of cloud data architectures, pipelines, and analytic workloads (AWS or Azure preferred). Ability to manage multiple projects and deliver high-quality solutions in agile environments. Nice to Have: Experience with dbt, Apache NiFi/Snowflake OpenFlow, or other ETL/ELT frameworks. Familiarity with Python, JavaScript, or API integration for analytics automation. Exposure to data governance, security, or data mesh concepts in enterprise-scale deployments. Client-facing consulting or solution design experience. Qualifications Bachelors degree in Computer Science, Information Systems, Data Analytics, or related field (or equivalent experience). Sigma Computing, Snowflake, or Databricks certifications are highly advantageous. Why Join Contribute to cutting-edge data analytics and visualization projects on modern cloud data platforms. Work with a dynamic, solution-oriented team that values innovation and continuous learning. Competitive compensation, hybrid flexibility, and growth potential within a data-driven organization.