Head of Data Platform

We build. We create impact. 

We are seeking a Head of Data Platform to support the growth of the company and building our data analytics SaaS platform for the retail industry particularly in the context of the increasing diversity of volumes sources and types of data utilized by the organization. 
 
We work on solutions that:  

• Handle large volumes of diverse data from IoT/event streams computer vision transactional operational and supply chain sources  
• Enrich AI and Computer Vision capabilities with a business intelligence layer transforming data into actionable insights for retailers 

Your Role 

As a member of Memorys Data Team your role will involve leading and managing the data platform team which consists of data engineers and data ops engineers. Your primary responsibilities will include:  

• Management and organization of the data engineers and data ops engineers 
• Define the teams vision and assess individual objectives providing regular feedback 
• Own the operational/run of the computations performed on our data platform as well as insuring continuous data integration and data sharing with consuming systems 
• Act as the main contact point for stakeholders when referring to running the data platform as well as internal or external data arbitrating between the requirements specifications and business priorities 
• Lead conversations regarding design data architecture building and managing our data pipelines ensuring data is seamlessly integrated into our data Lakehouse 
• Own the implementation of the analytics compute engines as well as putting in production analytics modules and ML models 
• Define best practices across the team and ensure the security integrity and compliance/quality of data according to industry and company standards 
• Foster a collaborative mindset to strengthen autonomy and accountability within multidisciplinary teams including Data Science Machine Learning Infrastructure  Software Product Consulting to understand their data needs and provide solutions 
• Lead the recruitment process in collaboration with HR 

Qualifications :

Profile Sought 

We are looking for a candidate with the following skills: 

• We are looking for someone with a track record in Data Engineering/Data Ops roles with a history of delivering analytics solutions dealing with large data volumes 
• Someone that has a deep understanding of the technical complexity of a data platform and what running data operations means 
• Someone that is customer oriented that can engage with stakeholders and solve their problems alignment project delivery and change management 
• Experience managing data engineering or data ops teams 
• Proficiency in at least one programming language commonly used within Data Engineering such as Python Scala or Java.  
• Experience with distributed processing technologies and frameworks such as Spark/Databricks and distributed storage systems (e.g. HDFS ....  
• Solid understanding of Spark and ability to write debug and optimize Spark code. 
• Expertise with any orchestrator such as Airflow Dagster Prefect or similar frameworks.  
• Knowledge of Data Lakehouse architectures or OLAP/Cube systems for advanced analytics.  
• Familiarity with Docker & Kubernetes. 
• Knowledge of Kafka Event Hubs Pub/Sub is a plus. 
• Knowledge of dbt is a plus. 
• A deep understanding of best practices in data architecture data management security and compliance 
• Excellent communication skills to collaborate with crossfunctional teams 
• Bonus point: previous experience in the retail field 

By joining our team youll have the opportunity to work on exciting projects in the retail sector learn and grow in a dynamic environment. 

Additional Information :

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