Staff Data Architect

Are you passionate about technology that enables the use of data to gain insights, improve customer experience, and drive revenue? With over 180 Million highly engaged customers in 109 countries, Sony Interactive Entertainment (SIE) is committed to using data to understand our Players and Partners, and enable the enterprise to make data driven decisions.

What you will be doing

As a member of the architecture team, you will collaborate with other architects to maintain a structured architecture across a number of domains, including Commerce, Partner (Game Publishers/Developers), Accounts and Identity, Customer Care, IT, and Enterprise Applications. In your role as a Data Architect, you will use your expertise to maximise value from data for our Players, Partners, and Operators.

Data Architecture: Manage the data architecture across our data platforms.

Translate business requirements into conceptual and logical data models. Work with the engineering teams to ensure the physical data models are aligned with the logical & conceptual data model.

Ensure data is efficiently organised and presented across data lakes and data warehouse platforms to drive business insights, analytics, data science and machine learning use cases.

Data Architecture Standards: Maintain and enhance the logical and physical data modeling standards and guidelines. Align them with industry best practices to ensure the data model is scalable and efficient to meet our business needs.

Promote the adoption of the data architecture standard and guidelines with the engineering teams.

Data Management: Maintain data documentation including data dictionaries, metadata, and high level data lineage. Ensure the data architecture is compliant with SIE Data Governance and Security policies.

Integration Architecture: Define logical data flows. Reuse existing design patterns and define new design patterns in collaboration with engineering where necessary.

Architecture Deliverables: Deliver high-quality architecture documentation that clearly explains the solution and the rationale behind the decisions made. Ensure the documentation is comprehensible to the target stakeholders, such as Product Management and Engineering teams.

Architecture Governance: Contribute and drive the adoption of the architecture standards, patterns and policies across engineering teams in the data group and other teams in SIE.

Collaborate: Build a strong working relationship with architects and engineering teams across SIE, especially in the data domain. Take an active role in contributing to the effectiveness of the architect community.

What are we looking for

• Minimum 5 years of commercial Data Warehousing experience with at least 2 years of data modeling experience.

• Proficiency in data management concepts, practices and procedures; as well as extensive knowledge of data integration, data quality, multi-dimensional design and ETL tools, processes and methodology.

• Experience of designing and implementing Data Lake solutions

• Experience of corporate data governance and compliance including GDPR and data protection/privacy rules.

• Experience of working with data science and machine learning teams, ensuring the data can be efficiently used to drive DS & ML use cases.

• Demonstrable experience of working with data science and machine learning teams on feature engineering and feature stores.

• Demonstrable knowledge of the use of Agile methods, and working closely with product managers and engineering teams. Ensuring the solution meets the requirements and is deliverable.

• Demonstrable knowledge of architecture governance using principles, policies, views and viewpoints.

• Demonstrable knowledge of Business Intelligence & Analytics industry and leading industry standards.

• Ability to communicate complex technical issues to different audiences from technologists to senior leadership team members.

• Ability to build rapport and influence through collaborative leadership

SIE Data Organizations Technology Stack

High level summary of the key applications and platforms used by the SIE Data Group

• Hosting: Almost all of our key applications and platforms are hosted on AWS

• Data Integration: Ab Initio (hosted on AWS) & Databricks (SaaS)

• Data Streaming: Kafka and Flink

• Data Warehouse: Snowflake (SaaS)

• Data Lake: AWS Lakeformation, Glue and some customised components

• Reporting Platforms: MicroStrategy, Domo, Imply and Tableau

• Web Analytics & Telemetry: Adobe Experience Platform

• Data Science Platform: Databricks, Tecton & Airflow

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

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