Data Architect, Data Analytics

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Data Architect, Data Analytics

Requisition ID:  8049

Job Summary

Suntory is a global leader in consumer-packaged goods, renowned for producing and distributing a uniquely diverse portfolio of beverages, premium spirits, beer, wine, and wellness products throughout the world. With a history dating back to 1899, we are driven by a profound purpose: To inspire the brilliance of life, by creating rich experiences for people, in harmony with nature. At Suntory Beverage and Food, we boldly move forward together to realize the dreams of becoming a world-leading next-generation global beverage company, always together with Seikatsusha – you are an important part of this and here’s how your role helps us win.

Our Global Data Analytics team is building the next-gen centralized global lakehouse & analytics hub for the entire Suntory Beverage & Food International (SBFI). As a critical member of the team, this role will be expected to deliver end to end data analytics solutions, based on the input from Data Analytics Product Team. You will also oversee the entire solution architecture designs and lead the data governance, BAU Operation and advanced analytics team.

As part of the Suntory Beverage & Food Global Data Engineering Team, you are expected to help business departments to drive their data analytics roadmap with your Data Engineering & Analytics skill sets. The mission of the SBFI Data Engineering Team is to create competitive advantages for the SBFI through analytics and superior insights that enables better & faster decisions leading to sustainable business growth.

Job Responsibilities

• Provide the end-to-end solution design when receiving the requests from global/regional data product managers, the design may cover infrastructure, network, data extraction approach, ETL flows, and cube.
• Design the suitable data models (bronze, silver, gold and data mart) to address the business requirements
• Review the local solution designs and provide go/no-go decision.
• Explore the modern tech in the market and keep evolving the current architecture, you may engage with Microsoft or Databricks solution architects to evaluate new releases, features, or products
• Hands-on development for the ETL Pipelines using Azure Stack, including but not limited to ADLS, Azure Data Factory, Logic Apps, Azure Databricks, Azure Automation, Azure Functions, Azure Key Vault, etc.
• Hands-on development for the centralized OLAP Cube (semantic model) using Visual Studio, Bsim Normalizer, Tabular Editor, Dax Studio. 
• Design & manage the CI/CD pipelines to make sure smooth deployment from Dev, to QA, and Production environments for Databricks and Azure Data Factory. 
• Design the end-to-end advanced analytics solutions, platforms and operation framework. 
• Work with internal & external data scientists & consultants to develop the advanced analytics solutions, using Python, Pyspark, Azure machine learning studio, or H2O. The topics may be Revenue Growth Management, Route to Market, Demand Forecast, Customer Segmentation, etc. 
• Provide consultancies or explanations to the senior leaders to help them understand the ML/Advanced Analytics logics. 
• Provide support to build interactive chatbots or GenAI apps to enable insights & better data visibilities
• You will have the direct reports of the operation managers.
• Guide operation managers to run the ITIL process, including CAB, Change Request, Incident, Service Request, Problem Management, etc.
• Develop long-term data operation framework and processes across data engineering, analytics enablement, and machine learning. 
• Design the end-to-end governance framework & platform (Unity Catalog & Purview)
• The governance scope will include:
  • Global & Local Dataset, this is to define the clear boundary between global & local datasets so that they can be stored in correct environments
  • Upper Stream details, this is to prevent ETL pipelines & logics get affected by any changes from upper stream systems
  • Data Source management, this is to understand what types of data, which approach the team is using to extract from various data sources
  • Lineage Management, this is to have a full view of the data life cycle, the lineage will cover data source – Bronze – Silver – Gold – DMT – PowerBI data set
  • Data Quality Management, this is to make sure the data can be ingested into the lakehouse correctly & timely. 
  • Access Management, this is to make sure the access will not be over-granted to internal/external developers, data scientists, BA/PMS.

Skills and Experience

Key Developer and Architect Knowledge
• Azure Data Lake (Azure Data Lake Storage, Azure Key Vault, Azure Logic App, Azure Functions, Azure Automation, Azure Data Factory, etc)
• Databricks (Unity Catalog, Lakehouse, Workflows, Clusters/SQL Warehouse, Delta Sharing, Volumes, External Locations, Storage Credentials, etc)
• Machine Learning (Supervised, Unsupervised learning models, MLOps, etc)
• Power BI (DAX, Power Query, Power Pivot, Filters, Power BI Gateway, Data Access Mode like Direct Query/Import/Live Connection, Data Refresh Method, Power BI Dataset, PBI Workspace, Method to publish app and report, Various visuals chart types, etc.)
• Data Modelling Framework (Entity Relationship, Data Vault Schema, Star Schema, Snowflake Schema, Data Mart, Materialized View, Data Harmonization, etc.)
• SAP (S/4HANA, BW/4HANA, ECC, BPC, IBP, Datasphere, C4C)

Key Management Knowledge
• Agile Development Framework (backlog, sprint, scrum, user story & story point, epic, etc.)
• Stakeholder Reporting (Agile Development Sprint Report, Waterfall Project Report)
• ITIL Process (especially Change & Release Management)
• Design Documentation Management
• Code Management (CI/CD Pipeline)
• Waterfall Project Management
• Meta Data Management

Data Source System & FMCG Domain Knowledge
• Enterprise Systems such as SAP BW, SAP ERP, SAP IBP, Success Factors, Coupa, MES
• Commercial IT Systems such as SFA, DMS, TPM
• Retail & Consumer Measurement Service and Tools like Nielsen, IRI, Kantar, TRAX
• FMCG Domain Knowledge like RTM, RGM

Others
• Bachelor’s degree or above in data or IT related field.
• 10 years experiences in data platform management, operations, development
• Azure, Databricks, ITIL Certificates are preferred
• Strong communication and stakeholder management skills
• Good Time Management skills