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 to build a candidate pool of highly skilled Data Architects to join our team in the near future. As a Data Architect, you will play a pivotal role in designing, creating, and managing our clients' data architecture solutions. This is an excellent opportunity for individuals who are passionate about data and eager to contribute to cutting-edge projects.
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.
If you are interested in being considered for future Data Architect opportunities at Spark, please submit your resume and a cover letter outlining your relevant experience and why you would be a great fit for our team.
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 AWSComfortable presenting designs to both technical and non-technical audiencesStrong leadership abilities, providing technical guidance to the delivery team for successful project outcomesKnowledge 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 offer a flexible hybrid work environment that combines the best aspects of remote work and office collaboration. Our headquarters are in Dublin's vibrant Temple Bar, while our cutting-edge R&D centre resides in the historic Centro Histórico in Malaga, Spain; each providing a dynamic backdrop for your work. You can enjoy the perks of in-person collaboration, networking, and a vibrant office culture; however, you also have the flexibility to work remotely (with a home office allowance) and maintain a healthy work-life balance. Unlimited leave. Spark believes in recognising and rewarding based expertise and value brought to our customers. We prioritise results and empower our team members to achieve greatness while maintaining a healthy work-life balance. We believe in equitable compensation for all our team members. We offer market-beating packages and pension plan that acknowledge the value and expertise everyone brings to Spark. Our dedication to providing transparent and competitive salaries reflects our appreciation for hard work and our commitment to fostering a motivated and thriving workforce. We prioritise our employees' wellbeing, and we've been recognised as a finalist for Employee Wellbeing Award. Our Employee Wellbeing initiatives include programs for physical health (Fitbit, Bike to Work Scheme, etc), mental resilience, work-life balance, and career development, along with a comprehensive VHI Health Insurance Plan. Spark offers an annual training budget with 2 weeks of study leave to attend conferences and courses that enhance your skills, providing the dedicated time to focus on your learning and development.
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