Data Architect

The Company

Founded in 2009, Cubic Telecom has grown to become one of the leading providers of connectivity solutions and analytics services that help vehicle and IoT device manufacturers manage and grow revenue streams. Fast paced, smart, ambitious, and continually seeking new, ideas. That’s us, is it you? At Cubic you will find an environment filled with energy and collaboration, where we set out every day to improve not just the world, but ourselves and each other.

The Role

We are looking for an experienced data architect with experience working across multiple departments and teams with a variety of data owners.

Our teams are at the forefront of building and adapting the latest technologies to propel the automotive IOT space forward in a way that better serves everyone. Our work touches all aspects of automotive connectivity, and we use some of the most advanced development tools, data science and innovative approaches to make our systems work better for everyone.

We are looking for you to join us on this journey and in optimising our data asset, building a best-in-class data architecture and infrastructure to support our growing business and innovative ideas. We are using some of the latest and best tools in our goal to strive for excellence in data management and data structure.

Your key responsibilities will be to oversee our company’s data systems, optimise and unify the data assets and support in the development and optimisation of the data architecture and

Key responsibilities

• Data Infrastructure: Management of data infrastructure across the organisation (Data Lake, Data bases)
• Data Modelling: Designing and developing data models that meet the organization's requirements for data storage, retrieval, and analysis.
• Data Governance: Developing and implementing policies, procedures, and standards for data management, ensuring that data is secure and compliant with industry regulations and best practices.
• Data Quality: Ensuring that data is accurate, complete, and timely, and that data quality standards are maintained across the organization. Work with organisational stakeholders to support the optimisation and unification of data assets across our various teams.
• Data Security: Developing and implementing security protocols to ensure that data is secure, both at rest and in transit.
• Data Storage and Retrieval: Designing and implementing data storage systems that are scalable, flexible, and responsive to the organization's needs for data storage and retrieval.
• Data Analysis: Collaborating with other teams to develop and implement data analysis strategies that leverage the organization's data assets to inform business decisions.
• Technology Evaluation: Evaluating new technologies and tools to determine their suitability for the organization's data architecture and data management needs.
• Work with organisational stakeholders to support with data-related technical issues.
• Manage the cost of the data asset.

Requirements

• Experience in a Data Architecture role working cross functionally with multiple data sources.
• Experience with NoSql technologies
• Experience within a high transaction systems environment
• Experience with both OLAP and OLTP
• 5 years as DBA or database developer
• Experience in implementing data compliance and regulatory requirements,
• Strong problem solving with ability to scope, structure and solve complex issues with high levels of ambiguity. Curios and committed to finding solutions.
• Desired technologies – Azure Data lake, SQL database and Azure components, Cosmos DB, Snowflake