Duties / Key Responsibilities:
- Supervise and manage a team ofData Engineers, providing technical guidance and, mentorship
- Take ownership of the Data Lake and architecture setup and maintenance
- Lead and supervise the design and implementation of data ingestion, transformation, and integration pipelines
- Oversee ETL/ELT workflows across multiple enterprise systems such as SAP, Salesforce etc.
- Ensure compliance with data governance, privacy, and security standards in alignment with Smiths Detection policies.
- Collaborate with Data Architects, Data Analysts / Analytics Lead, and IT to deliver efficient, analytics-ready data models.
- Define and implement data engineering best practices, including version control, CI/CD, performance tuning, and automation and ensure consistent adherence across day-to-day delivery.
- Partner with business and IT stakeholders to translate requirements into scalable technical solutions.
- Monitor data platform resource usage and support cost-optimization efforts across cloud infrastructure while ensuring system performance and reliability.
- Oversee data quality frameworks, validation rules, and monitoring processes to ensure accuracy and consistency.
- Supervise and coordinatemigration and modernization initiatives for data lake.
- Contribute to the design and implementation of AI- and ML-ready data architecture, enabling predictive and advanced analytics.
- Collaboratewith the Head of Data & Analytics to support the development of the data strategy, architecture roadmap, and future-state platform vision.
Stay current with emerging data engineering, and cloud technologies to recommend Practical/innovative solutions.