Head of Data Architecture – Engineering

Role Overview

• Define and drive the organisation’s data architecture strategy that aligns with the overarching Data Strategy.
• Design, manage, document, and evolve the overall data architecture.
• Continuously evaluate new technologies and methodologies to enhance data storage, processing, and access capabilities.
• Implement appropriate data management technologies, processes, and frameworks to enable data storage, data ingestion, data processing, data integration, data governance, data science, AI tool integration, etc.
• Plan and manage the integration of data from various sources, ensuring data quality, timeliness of data delivery, and security.
• Implement best practices to ensure that the data platform meets the performance, scalability, and security needs of the organisation.
• Ensure data quality and consistency.
• Develop and enforce data security policies to protect sensitive information.
• Ensure compliance with relevant data protection regulations and standards.
• Collaborate with business analysts and business stakeholders to understand data needs and provide data to meet those requirements.
• Ensure timely and accurate responses to business data requests, providing solutions and actionable recommendations.
• Collaborate with product and technology teams to ensure the data architecture is aligned with product roadmaps and technical systems.
• Lead, inspire, mentor, and grow a high-performing team of data architects, data engineers, and data analysts.
• Establish a culture of collaboration, innovation, and continuous improvement.

Requirements

• Bachelor’s degree in computer science, data engineering, information systems, or a related field.
• 5+ years of experience in managing data architectures, data engineering, or a related field.
• Proven leadership experience managing data teams, including data architects, data engineers, data analysts.
• Proficiency in relational databases and NoSQL databases.
• Experience with ETL tools and processes.
• Strong experience with cloud-based data platforms (e.g., AWS, GCP, Azure) for data storage, processing (incl. real time processing), and analytics.
• Experience with data warehousing concepts (e.g. Inmon, Kimball, Data Vault), and technologies (e.g., Google Big Query, Snowflake, Amazon Redshift).
• Experience with implementing modern Delta Lake/Data Lakehouse architectures, also called medallion architectures.
• Hands-on experience with big data technologies (e.g., Spark, Hadoop) and relational databases (e.g., SQL Server, MySQL, PostgreSQL).
• Proficiency in programming languages commonly used in data management (e.g., SQL, Python).
• Understanding data governance, data protection regulations, and security best practices.
• Expertise in data modeling techniques and tools including transactional and dimensional modelling.
• Knowledge of version control systems (e.g., Git) and CI/CD pipelines for managing data infrastructure code.
• Strong leadership and communication skills, with the ability to manage cross-functional teams.
• Strategic thinker with a pragmatic approach to solving complex data challenges.
• Excellent stakeholder management and ability to translate business needs into technical requirements.
• Flexibility to adapt to changing technology landscapes and business needs.
• Ability to align data architecture with the organisation’s long-term goals and objectives.
• A forward-thinking mindset to explore and implement cutting-edge data technologies and methodologies.
• Relevant certifications can enhance a candidate's qualifications.
• Knowledge or exposure to the iGaming industry is not necessary but will definitely be considered a plus.

Tech Stack

• Amazon Redshift
• AWS
• Azure
• BigQuery
• Cloud
• ETL
• Google Cloud Platform
• Hadoop
• MySQL
• NoSQL
• Postgres
• Python
• Spark
• SQL
• Vault

Benefits

• Private health insurance
• Wellness incentives, including a fitness allowance and mental well-being services
• Flexible national holidays: public holidays mean more time off, choose how and when to enjoy them!
• 2 weeks Work From Anywhere (10 days), increased to 4 weeks (20 days) after longer duration of employment within the Company: explore the world while working remotely
• Gourmet lunches and healthy snacks prepared by our in-house chef
• Variety of discounts from local vendors
• Access to some of the greatest tools and platforms for developing your professional skills and building success within your role
• A range of training courses, known as Casumo College, for continuous learning and growth
• Social events for building strong relationships with colleagues from all across the organisation