Data Architect
hace 4 días
At Spark Digital & Analytics, we're on a mission to revolutionise the business landscape through data-driven innovation. As a Data Architect, you'll play a pivotal role in designing, creating, and managing our clients' data architecture solutions.
Key Responsibilities- Develop and implement comprehensive data strategies 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.
- 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.
- 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.
- A flexible hybrid work environment that combines the best aspects of remote work and office collaboration.
- Unlimited leave.
- Equitable compensation for all our team members.
- A comprehensive VHI Health Insurance Plan.
- An annual training budget with 2 weeks of study leave to attend conferences and courses that enhance your skills.
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