Chief Data Architect
1 month ago
We are seeking a highly skilled Chief Data Architect to lead our data strategy and architecture efforts.
About Us:Energy At Work is a leading provider of innovative solutions in the energy sector. Our mission is to empower businesses and individuals to make informed decisions about their energy usage.
Salary:The estimated annual salary for this position is between $120,000 and $180,000 depending on experience and qualifications.
Key Responsibilities:Data Architecture & Strategy- Design and implement a cloud-based data infrastructure using modern platforms such as AWS, Google Cloud, or Azure.
- Develop and maintain a cohesive data strategy that aligns with business objectives and coalition partner requirements.
- Implement frameworks ensuring data quality, integrity, and compliance with GDPR and POPI.
- Manage data security and privacy for customer and partner data.
- Lead a cross-functional team of Data Engineers, Data Scientists, and ML Engineers.
- Guide team growth, deliver high-quality data products, and foster a data-driven culture.
- Deploy machine learning (ML) and artificial intelligence (AI) for predictive models, enabling hyper-personalisation for engagement and fraud prevention within the loyalty programme.
- Work closely with C-suite executives, coalition partners, and business leaders to drive data-driven decisions.
- Present insights and strategies to senior management and board members.
- Optimise data architecture and software costs; administer reporting platforms (Tableau) and develop dashboards for tracking performance and ROI.
- Stay up-to-date with big data, ML, and cloud technology trends; drive best practices for continuous improvement.
The ideal candidate will have:
- A Bachelor's Degree in Data Science, Computer Science, or related field.
- Postgraduate qualifications or certifications in Cloud Solutions, Data Warehousing, or AI/ML preferred.
- 10+ years in data management, business intelligence, and cloud-based architecture, focusing on big data, AI/ML, and data governance.
- Proven success managing cross-functional data teams in Financial Services, FinTech, or Telecom.
- Experience with AWS, Google Cloud, or Azure for large-scale projects.
- Expertise in data architecture, warehousing, and data lakes (Redshift, Snowflake, Databricks).
- Proficiency in big data tech (Spark, Kafka, Hadoop) and ETL tools (AWS Glue, Fivetran, Airflow).
- Strong SQL, Python, and other data analytics and ML programming skills.
- Strong leadership and team management, with a focus on talent development.
- Excellent presentation and communication skills for engaging senior leaders and stakeholders.
- Problem-solving focus on operational efficiency and business outcomes.
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