Communicate with business stakeholders to idenfity needs and goals for improvement of Sales function related data CDM/LDM;
Contribute to automation of business processes and digital products based on data processing;
Business processes research and development a "digital copy" based on data to provide analytics, insights and efficiency improvement;
Coordinate CDM/LDM development with Data Architects;
Implement PHD through coordination and guidance for Data Engineers and Data Analysts team, adjust Data model to BI requirements (base layer, aggregates, etc.);
Lead database development (PostgreSQL) based on Data Platform;
Development rules and procedures to make changes in data marts, ensuring their proper execution, coordination with Governance Lead;
Develop and support set of Measures based on LDM/PHD in collaboration with Business Analysts;
Provide integration of new data sources and existing integrations optimization (with support of Central Data Office);
Provide effective usage of Data Platform components for Sales Data Domain development (with support of Central Data Office: DataProc, AirFlow, Kubernetes, etc.);
Coordinate Data Stewards and tech specialists collaboration to ensure correct data model, data description and use of the data;
Conduct code-review on data model development;
Maintain tech documentation;
Ensure Data Governance principles implementation within Sales Data Domain: data catalog, data quality, data access;
Optimize data flows by performing extended business analysis to identify room for improvement in cross-functional data usage.
You will:
Relaunch corporate data architecture within Sales Function and lead smooth transition from Azure Data Lake to Yandex S3 wharehousing;
Deliver changes to business processes heavily dependent on data;
Lead Data Domain development from design (CDM/LDM) to physical implementation;
Enhance ways of working and coordinate cross-team work to build data architecture and address new business requests (Data Engineers, Data Analysts, Data Architect, Business Analysts, Stewards) Lead Data Domain development from design (CDM/LDM);
Liaise with experts, IT and stakeholders to identify room for process improvement.
Required Experience:
Minimum 3 years experience in roles: Data Architect, Data Domain Owner, Data Engineers Lead;
Proven experience in architecting and designing DWH;
Strong knowledge of database structure systems and data mining;
Advanced knowledge of SQL, Python, Spark;
Experience with data ingestion technologies/ETL tools;
Experience in solution delivery using common methodologies especially Scrum, Agile;
Ability to articulate complex technical information to all stakeholders, including the non-technical;
Advanced analytical skills;
Data analysis skills, work with a large amount of information;
Good written and verbal communication skills;
Good level of English (spoken and written);
Problem solving skills;
Strong focus on working with functional and project managers to make decisions in a timely manner and keep work on track, within budget, schedule and other constraints.
We offer:
Opportunity to develop within a large international FMCG company;