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Data Architect | Candidate Pool Busqueda Urgente
hace 3 meses
.About the jobSpark 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
