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Data Architect
4 weeks ago
Join to apply for the Data Architect role at Confiz.
We seek an experienced Data Architect with 8+ years of experience to design and implement scalable, secure data solutions. Must have expertise in Azure, data modeling, governance, and integration, with strong strategic and leadership skills.
Responsibilities- Design and implement scalable, secure, and efficient data architectures for integrated systems.
- Develop and maintain enterprise-wide data models, ensuring alignment with business objectives.
- Develop data flow frameworks to ensure seamless integration between applications, databases, and cloud platforms.
- Define and enforce data architecture standards, best practices, and governance policies.
- Manage data import processes from various source systems/API and oversee data export to other systems/API, ensuring accuracy and reliability.
- Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
- Optimize data storage, retrieval, and processing to enhance performance and reliability.
- Ensure data security, compliance, and integrity across all systems.
- Conduct code reviews, provide feedback, and ensure best practices are followed.
- Identify and resolve data-related issues, bottlenecks, and inefficiencies.
- Stay updated with emerging technologies and industry best practices in data architecture and engineering.
- Complete documentation of Data Architecture structure.
- Bachelors or equivalent Degree in Computer Science, Information Technology or related field.
- 8+ years of professional, hands-on experience building complex solutions that collect, process, store, and analyze large volumes of business-critical data.
- 3+ years' experience in Big Data Distributed systems such as Microsoft Fabric, Databricks, AWS EMR.
- 3+ years of experience developing both multidimensional and tabular models with large and complex datasets.
- 1+ years working in an Architect role including: designing, modeling, and building complex data solutions.
- Strong experience in developing data pipelines using PySpark and ETL tools like ADF, Talend.
- Proficiency in Python & SQL.
- Solid understanding of data modelling, ETL processes, and best practices in data warehousing domain.
- Knowledge of Data Governance Practices and Data Quality Tools.
- Knowledge of data security and privacy measures.
- Experience in managing teams, being a technical coach.
- Experience driving knowledge transfer and/or training programs.
- Experience with agile delivery methodologies, proof of concepts, and prototyping.
- Experience with Azure ARM templates, PowerShell, and CI/CD using Azure DevOps.
- Ability to research client inquiries and emerging issues related to regulations, industry practice, and new application technologies.
- Ability to conduct data profiling, cataloguing, and mapping for technical design and construction of technical data flows.
- Ability to facilitate design discussions and communicate architectural decisions.
- Experience in Microsoft Fabric and Purview is an additional advantage.