Data Team Lead

Data Lead About the Role (SAP to Snowflake Data Delivery): Own the end-to-end data pipeline from SAP source systems (ECC / S/4HANA) into Snowflake — extraction, ingestion, transformation, and publication of curated layers. Key Responsibilities Lead end-to-end SAP to Snowflake data integration , ensuring reliable, scalable, and high-quality data pipelines. Design and optimize Snowflake data models for performance, governance, and cost efficiency. Develop interactive Power BI dashboards, semantic models, DAX measures, and secure reporting solutions. Ensure data quality, reconciliation, and governance across analytical assets. Partner with business stakeholders to translate requirements into meaningful KPIs and actionable insights. Drive data storytelling by building dashboards that support business decision-making. Lead and mentor a team of 4–6 Data Engineers, Analysts, and BI Developers. Establish best practices for data engineering, BI development, and deployment standards. Collaborate with SAP, IT, and infrastructure teams to remove dependencies and deliver projects efficiently. Manage stakeholder expectations, roadmap planning, and analytics adoption across business functions. Conduct regular business reviews, training sessions, and feedback workshops to maximize report adoption. Measure the impact of analytics through usage, business value, and continuous improvement initiatives. Required Skills 8–10 years of experience in data engineering, business intelligence or analytics, with at least 2–3 years leading a team. Demonstrable experience extracting and modelling SAP data — practical understanding of SAP data structures and the realities of SAP extraction. Strong, hands-on Snowflake experience : modelling, performance tuning, security, and cost management. Expert-level SQL. Advanced Power BI : semantic modelling, DAX, Power Query, RLS, deployment pipelines, workspace governance. Experience with a modern transformation / orchestration tool (DBT, Azure Data Factory, Fivetran, Matillion, Airflow or equivalent). Proven business analysis capability — requirements gathering, KPI definition, process understanding. Excellent written and verbal communication; comfortable presenting to senior leadership. Track record of delivering analytics that were adopted and used, with evidence of the outcome delivered. Preferred Skills Experience with a modern transformation / orchestration tool (DBT, Azure Data Factory, Fivetran, Matillion, Airflow or equivalent). Experience with S/4HANA migration or SAP Datasphere / BW context. Exposure to Microsoft Fabric, Databricks or similar. Python for data engineering or automation. CI/CD and version control practices for data (Git, automated testing, environment promotion). Data governance, cataloguing or master data management experience. Domain depth in finance, supply chain, manufacturing or retail analytics. Equal Opportunity Statement We are committed to diversity and inclusivity in our hiring practices.