Data Architect (Contractor or Permanent)

Freelancer, Full-time · Dublin - Hybrid

About the job

Spark is a powerhouse of innovation, a champion among firms, blazing a trail for SMEs and enterprise businesses. Our secret weapon? Data. With our unmatched expertise, we bring unparalleled value to our customers, propelling them to new heights of success.

At Spark, we don't settle for the ordinary. We're on a mission to revolutionise the business landscape, one data-driven solution at a time. From inception to execution, we provide comprehensive end-to-end services encompassing strategy, design, development, and implementation, relentlessly pursuing excellence, constantly optimising operations, boosting revenue, and reducing costs.

This unwavering dedication ensures our customers stay ahead of the competition, achieving extraordinary results that redefine what's possible.

But here's the thing—we can't do it alone. We need a team of brilliant minds, trailblazers, and visionaries to join our ranks, eager to make a difference and deliver on our promises to our customers. So, if you're ready to embark on an exciting journey where every day is an opportunity to create something remarkable, look no further.

Spark is calling.

We are looking for a talented and experienced Data Architect to design and implement robust, scalable data solutions that support our customers’ business objectives on a fixed term contract basis. The Data Architect will play a critical role in defining the organisation's data architecture, ensuring data integrity, security, and accessibility across all systems and applications.

The ideal candidate will have a deep understanding of data management principles, strong technical skills, and a passion for leveraging data to drive business outcomes.

This role is available for contractors, but we are also open to considering permanent employees.

Specifically, we see your time is spent:

Develop and implement a comprehensive data strategy aligned with business goals and objectives.
Define data architecture principles, standards, and best practices to guide data management initiatives.
Collaborate with stakeholders to understand data requirements and priorities, ensuring alignment with strategic objectives.
Design and implement logical and physical data models that support data integration, storage, and retrieval.
Define data structures, data flows, and data mappings to facilitate efficient data processing and analysis.
Evaluate and select appropriate data technologies and tools to support data architecture goals.
Establish data governance processes and policies to ensure data quality, consistency, and compliance with regulations.
Implement data quality controls and monitoring mechanisms to identify and resolve data issues proactively.
Work closely with data stewards and business users to define data standards and ensure adherence to data governance practices.
Design and implement data integration solutions to enable seamless data exchange and interoperability across systems.
Develop and optimise ETL (Extract, Transform, Load) processes to move data between different sources and destinations.
Collaborate with cross-functional teams to integrate data from diverse sources and ensure data consistency and accuracy.
Optimise data architecture and infrastructure for performance, scalability, and cost-effectiveness.
Conduct performance tuning and capacity planning activities to optimise data processing and storage resources.
Implement data caching, partitioning, and indexing strategies to improve query performance and response times.
Develop customised training programs focusing on data architecture fundamentals.
Offer personalised mentorship sessions for hands-on learning and guidance.
Cultivate a collaborative environment to encourage knowledge sharing among junior members.
Establish strategic partnerships aligned with the company's goals and vision.
Foster effective communication and collaboration with partner organisations.
Monitor and evaluate partnership performance to ensure mutual benefit and success.

What will pique our interest is someone that might have:

Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
Proven experience as a Data Architect or similar role, with a strong background in data modelling, database design, and data management.
An extensive experience designing cloud-based data and analytical platforms on AWS.
Comfortable presenting designs to both technical and non-technical audiences.
Strong leadership abilities, providing technical guidance to the delivery team for successful project outcomes.
Knowledge and experience with any of the following: DataBricks, Snowflake, Data Governance (Collibra, Talend), iPaaS (Workato, Mulesoft), Data Visualization (Tableau, Looker, PowerBI), or Master Data Management systems.
Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
Excellent communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all levels.

How we can support you:

We embrace a hybrid approach that lets you work where you're most productive while staying connected with a collaborative and innovative team. With a strong remote-friendly culture, we ensure you have the support, tools, and flexibility to thrive. Whether you're collaborating virtually or joining team meetups, you'll experience the networking, camaraderie, and dynamic environment that make our company an exciting place to grow—all while maintaining a healthy work-life balance.

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We are looking forward to hearing from you!

Thank you for your interest in Spark. Please fill out the following short form. Should you have difficulties with the upload of your data, please send an email to recruitment@spark-hq.com