Lead Data Architect
4 weeks ago
At Likewize, we are seeking a highly skilled Lead Data Architect to drive our data-driven decision-making initiatives. As a key member of our team, you will design, develop, and maintain a data platform that empowers teams with actionable insights.
Key Responsibilities:
- Develop and execute a comprehensive data strategy aligned with the organization's goals and objectives.
- Lead the design of solutions, ensuring scalability, performance, and data accuracy.
- Supervise the technical implementation of data pipelines and oversee hardware/software configuration.
- Develop applications, dashboards, and reports using technologies like Python, Spark, SQL, data warehouses, and visualization tools.
- Ensure the development and documentation of business and technical metadata.
- Develop, implement, and maintain test strategies and plans.
- Translate project requirements into functional and non-functional specifications for reports and applications.
- Establish and maintain data governance standards to ensure data quality, security, and compliance with regulations.
- Ensure completeness and compatibility of the technical infrastructure to support system performance, availability, and architecture requirements.
Requirements:
- Bachelor's degree in Computer Science, Information Systems, or related field. Master's degree preferred.
- At least 10 years of experience in big data architectures, data warehouse, infrastructure components, ETL, data modeling.
- Proven experience in leading global teams with a strong track record of successful project delivery.
- Big data technologies/services expertise (Delta Lake, Lakehouse, Medallion, Spark, Python, Kinesis, S3, Glue, EMR, Airflow, Step Functions, Redshift, Athena, Lambda, ML) AWS preferred.
- Proficiency in managing visualizations, reports, dashboards, scorecards using Power BI.
- Excellent communication and leadership skills.
- Ability to perform detailed data analysis.
- Knowledge of any of the following would be valuable: Master Data Management, DAX.
- Prior working experience in Telecom (Billing and/or CRM) and Supply Chain systems.
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