Data Engineering Lead
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Key skills for this role
About the Role
Americana Foods seeks a Lead Data Engineering to drive data strategy and manage a team of data engineers, BI developers, and analysts. The role involves architecting scalable data platforms on AWS/Azure/Databricks, building data models, and enabling AI/ML applications.
Key Skills for This Role
Responsibilities
- Lead and manage a cross functional team of data engineers, BI developers, and analysts
- Architect, implement, and maintain scalable data platforms using AWS, Azure, Fabric, and Databricks
- Build relational data models and semantic layers to support AI/ML applications and self serve analytics
- Design and develop data warehouses, data marts, and dimensional models using Star/Snowflake schemas
- Drive continuous improvements in data architecture, modelling, and performance optimization
- Establish and enforce data governance practices including documentation, data lineage, quality checks, metadata management, and access controls
- Collaborate with stakeholders to translate business needs into high quality data solutions and actionable insights
- Oversee the development of dashboards and reports using Tableau and Power BI, ensuring multi level data security and governance
- Lead automation and AI use cases (e.g., chatbots, AI agents, predictive models) to reduce operational effort and cost
- Present insights and strategic recommendations to executive leadership including CEO, Chairman, and Directors
- Conduct end user training and promote data literacy across the organization
Requirements
- 6+ years of hands on experience in Data Analytics, Engineering, and BI
- Proven leadership in managing data teams and delivering enterprise scale solutions
- Expertise in AWS, Azure, SQL Server, Oracle ODI, PL/SQL, Python, and PySpark
- Strong proficiency in Tableau, Power BI, Glue, Alteryx, and Business Objects
- Deep understanding of data modeling, warehousing, and performance optimization
- Strong communication, stakeholder engagement, and project management skills
- Experience in documentation, milestone tracking, and delivering high impact solutions
- Demonstrated success in AI use cases for operational efficiency and forecasting
Full Job Posting
Overview
- We are seeking a dynamic and analytical Lead Data Engineering to drive data strategic initiatives from foundation across the organization.
- This role demands a seasoned leader with deep technical expertise and proven experience in transforming the data landscape for the organization and managing high performing teams.
- The ideal candidate will work closely with senior strategy and digital teams to drive data backed decision making, operational efficiency, and innovation.
Description
- Lead and manage a cross functional team of data engineers, BI developers, and analysts, fostering technical excellence and collaboration.
- Architect, implement, and maintain scalable data platforms using AWS, Azure, Fabric, and Databricks.
- Build relational data models and semantic layers to support AI/ML applications and self serve analytics.
- Design and develop data warehouses, data marts, and dimensional models using Star/Snowflake schemas.
- Drive continuous improvements in data architecture, modelling, and performance optimization.
- Establish and enforce data governance practices including documentation, data lineage, quality checks, metadata management, and access controls.
- Collaborate with stakeholders to translate business needs into high quality data solutions and actionable insights.
- Oversee the development of dashboards and reports using Tableau and Power BI, ensuring multi level data security and governance.
- Lead automation and AI use cases (e.g., chatbots, AI agents, predictive models) to reduce operational effort and cost.
- Present insights and strategic recommendations to executive leadership including CEO, Chairman, and Directors.
- Conduct end user training and promote data literacy across the organization.
Qualifications, Experience, & Skills
- 6+ years of hands on experience in Data Analytics, Engineering, and BI.
- Proven leadership in managing data teams and delivering enterprise scale solutions.
- Expertise in AWS, Azure, SQL Server, Oracle ODI, PL/SQL, Python, and PySpark.
- Strong proficiency in Tableau, Power BI, Glue, Alteryx, and Business Objects.
- Deep understanding of data modeling, warehousing, and performance optimization.
- Strong communication, stakeholder engagement, and project management skills.
- Experience in documentation, milestone tracking, and delivering high impact solutions.
- Demonstrated success in AI use cases for operational efficiency and forecasting.
Preferred Qualifications
- Bachelor's or master's degree in Computer Science, Data Engineering, or related field.
- Certifications in AWS or Azure; Tableau or Power BI certifications are a plus.
- Experience in FMCG/Food manufacturing industries.
Core Competencies Behavioural
- Leadership and team management
- Stakeholder engagement
- Strategic thinking and decision making
- Effective communication and presentation
- Project management and milestone tracking
- Collaboration and cross functional coordination
- Training and data literacy promotion
Core Competencies Technical
- Expertise in AWS, Azure, SQL Server, Oracle, PL/SQL, Python, PySpark
- Proficiency in Tableau, Power BI, Glue, Alteryx, Business Objects
- Data modelling, warehousing, and performance optimization
- AI/ML applications and automation use cases
- Data governance and metadata management
- Documentation and data lineage tracking
- Security and access control implementation
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