Data Architect
3 days ago
**Job Description
Role
Data Architect for CIS (CpaaS / Intelligent Interaction Suite)
About the role
You'll be joining the Product Platforms Team, a cross-functional team within the Product Management Team covering all the cross-products, cross-platforms foundational services for the CIS (Customer Interaction Suite) Business Unit; your role will be to contribute to design, create, maintain and evolve the most reliable unified data management layer for the whole department providing the quickest access and best use of data to deliver meaningful data products and business features based on data to our customers and internal stakeholders.
Your role will support the DABP (Data and Analytics Business Platform) Product Manager, the Data Product Manager in realizing a unified data management layer that covers all the different data sources, from end-user profiles to data about interaction at channel level, and provides optimized and ready-to-be-actioned data to all the different data consumers including, but not limited to, standard Analytics, premium Analytics, AI, ML, genAI tools, billing system and so on.
Your role will guarantee a comprehensive analysis, design and support to implementation of the required data flows, data quality checks, ETL, recovery and storage strategy as well as a strong ownership of the data governance process to ensure that the same best practices are adopted through the whole CIS Business Unit and that no changes in any data sources may break any downstream system or data products in place.
As part of your daily activity, you will work closely with several stakeholders and peers from the Product Management Team, Engineering Team and Operations Team of the CIS Business Unit.
In this role you will report to the Head of the Product Platforms Team within the Product Management Team of the CIS (Customer Interaction Suite) Business Unit.
Data Architect Responsibilities
- Understand how the data is created, stored, aggregated and cleaned at scale
- Design and actively work and collaborate to the execution of a Unified Data Management Layer for CIS including data ingestion, preparation, transformation and consumption
- Ensure that proper data storage and data recovery strategy in in place for all the data sources and data products
- Collaborate with DABP and Data PM to design, maintain and evolve optimized actionable data for each specific internal or external data product and/or business feature based on data
- Define and maintain a strong data governance process to support compliance and security
- Ensure that any changes in data sources, data flows or ETL are controlled, agreed and planned for by any downstream systems and data products
- Ensure that all data sources are properly integrated in the Unified Data Management Layers and that all data consumers are accessing and consuming the data in the best way possible
- Work with Product, Engineer and Operations Teams to realize, maintain and evolve the Unified Data Management Layer
- Design and maintain data architecture on large-scale enterprise data solutions.
- Restructure data entities to support AI, reporting, and platform insights, ensuring 100% of data is accessible and reliable.
Required Experience
- At least 4-6 years of previous experience in similar role in large complex enterprises
- Experience with Kafka (high relevant), confluent, snowflake, mongo, data streaming platforms
- Experience in design and execute unified data management platform in the context of multi-channels, multi-platforms, multi-regional enterprises
- Experience in analyzing and design data flows from ingestion to consumption including transformation, ETL, storage and recovery strategy
- Experience in supporting AI/ML, GenAI products from data point of view
- Experience in Data Governance process, regional data compliance and data security
- Good Business and Technical English is mandatory
Bonus experience
- Experience with Agile Methodology and related tool (especially Jira)
- Know-how on how data are consumed for Analytics, Visualization, AI/ML, GenAI
- Used to collaborate with Product, Engineering and Operation peers and stakeholders
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