Data Architect

Posted 17 Hours Ago
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Dublin
Senior level
Other • Software
The Role
The Data Architect will oversee and optimize the company's data systems and architecture, ensuring data quality, integrity, and security, while collaborating with multiple stakeholders to meet business requirements. Responsibilities include developing data governance strategies, maintaining data models, and recommending emerging technologies to enhance organizational data management.
Summary Generated by Built In

Description

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 infrastructure.

Key responsibilities

  • Establish and maintain models and artifacts that describe how data is processed, stored, and utilised in the entire system.
  • Develop and evolve the data governance strategy and implement controls to ensure consistency of data, retention of data and privacy between various systems.
  • Develop and evangelise the design and development of future state data architecture and the strategic plan for supporting both transactional and information systems.
  • Advise and present on solutions for business intelligence and data warehousing activities for stakeholders at different levels within the organisation.
  • Collaborate with stakeholders to define business requirements for complex systems, focusing on understanding and documenting the business processes and data requirements of those processes.
  • Work with development teams on the implementation of processes which result in a high degree of data quality, integrity and security.
  • Research and assess emerging technologies and recommend technologies that will benefit the organisation.
  • Establish and maintain models and artifacts that describe how data is processed, stored, and utilised in the entire system.
  • Develop and evolve the data governance strategy and implement controls to ensure consistency of data, retention of data and privacy between various systems.
  • Develop and evangelise the design and development of future state data architecture and the strategic plan for supporting both transactional and information systems.
  • Advise and present on solutions for business intelligence and data warehousing activities for stakeholders at different levels within the organisation.
  • Collaborate with stakeholders to define business requirements for complex systems, focusing on understanding and documenting the business processes and data requirements of those processes.
  • Work with development teams on the implementation of processes which result in a high degree of data quality, integrity and security.
  • Research and assess emerging technologies and recommend technologies that will benefit the organisation.
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
Benefits
  • 25 days annual leave (pro-rated) + 2 company days
  • Health Insurance
  • Pension Contribution
  • ESOP
  • Death in Service Benefit
  • Tax saver scheme
  • Learning and Development Supports
  • Career Development Opportunities
  • Bits & Bobs days (paid half day every quarter to get your Bits & Bobs completed)
  • Bike to work scheme
  • Sports and Social Club

Cubic Telecom is an equal opportunities employer and committed to fostering a diverse and inclusive workplace.

Top Skills

Data Architecture
Data Governance
The Company
HQ: Sandyford, County Dublin
197 Employees
On-site Workplace
Year Founded: 2009

What We Do

Cubic Telecom delivers innovative IoT connected software solutions to Automotive & Agriculture manufacturers. Its ecosystem of revenue-generating services combines real-time analytics with global connectivity in 190 countries, always aligned to regional regulatory requirements.  

 Its global connected software platform PACE is used by leading companies around the world including Audi, Kymeta, Volkswagen, CNH Industrial, Skoda, e.GO Mobile and Arrival.  

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