Senior Data Solutions Architect

2 weeks ago

Johannesburg, Gauteng, South Africa Entelect Software Ltd Full time
Exciting Opportunity for a Senior Data Solutions Engineer at Entelect

Elevate your career at Entelect, where we prioritize people and nurture a culture of growth, collaboration, and innovation. Join a dynamic, multidisciplinary environment that encourages versatility and provides individual attention to career development, including intentional and regular one-on-ones with leadership.

Key Responsibilities:
  • Delivery: Wrangle big data from multiple sources into a reliable, evolving asset.
  • Collaboration: Work with Solution Architects to design and implement cloud, hybrid, and on-prem solutions.
  • Data Engineering: Design and implement optimal data pipelines and deliver impactful advanced analytics using ML, AI, cognitive services, and data science.
  • Analytics: Work across descriptive, diagnostic, predictive, and prescriptive analytics.
  • Technical Expertise: Familiarize yourself with ML algorithms and AI approaches, including clustering, regression, classification, speech recognition, OpenAI, LLMs, vision, search, and translation.
  • DataOps and MLOps: Understand DataOps and MLOps to ensure continuous deployment in short cycles with maximum impact and high quality.
  • Data Lineage and Metadata: Maintain data lineage and metadata effectively.
  • Business Dashboards: Design and develop business dashboards.
  • Customer-Facing: Build strong relationships and understand customer needs to deliver impactful solutions.
What You'll Get from Us:
  • A competitive compensation package with twice-yearly salary increases and guaranteed bonuses.
  • Tenure-based loyalty leave.
  • Access to employee wellness programs and rewards for professional development.
  • Commission incentives for successful business development leads and employee referrals.
  • Hands-on support from leadership through regular one-on-ones and quarterly reviews.
  • Continuous development programs offering training in leadership and technical skills.
  • Exposure to enterprise projects across multiple domains and problem spaces for South Africa's most esteemed organizations.
Requirements:
  • A bachelor's degree in IT, Engineering, or related fields.
  • Minimum 6 years of experience as a data solutions engineer in an enterprise environment.
  • Proficiency in software engineering fundamentals and commitment to clean code and best practices.
  • Experience working in a delivery team together with other disciplines to deliver a product.
  • Strong ability to model and analyze data.
  • Solid understanding of data engineering methodologies.
  • Good understanding of visualization best practices.
  • A desire to design and implement modern advanced analytics solutions and modern data warehousing solutions.
  • Strong collaboration and communication skills with a drive for continual improvement.

We use a range of technologies, including cloud environments (Azure, AWS, Google), front-end tech (Power BI, Microsoft Fabric, Amazon Quicksight, Google Data Studio, Grafana), languages (SQL, Python, Scala), data processing (Azure Data Factory, Amazon Glue, Apache Airflow, Databricks, Spark SQL), relational databases (MSSQL, PostgreSQL, Oracle, MySQL, Azure SQL, Amazon RDS), NoSQL databases (MongoDB, Cosmos DB, DynamoDB, Neo4j), streaming (Azure Stream Analytics, Kafka, Databricks streaming, Spark streaming, Google Dataflow, Amazon Kinesis), and ML platforms (Azure Machine Learning, Databricks ML, Amazon Sagemaker, Dataiku AI).

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