Solutions Architect

# Data Solutions Architect ## Company Overview (Company details are not specified.) ## Job Summary The Data Solutions Architect will lead the design and architecture of enterprise-grade data solutions on Microsoft Azure. This role is essential for creating efficient data ingestion, transformation, storage, governance, and consumption processes that align with business goals and industry best practices. ## Responsibilities - **Solution Design & Architecture**: Lead the design and architecture of enterprise-grade data solutions on Azure, focusing on data ingestion, transformation, storage, governance, and consumption. - **Stakeholder Collaboration**: Partner with business stakeholders, data scientists, data analysts, and IT teams to understand their needs and translate them into robust technical solutions. - **Platform Evaluation & Selection**: Evaluate and recommend optimal Azure services (e.g., Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure Data Lake Storage) to meet specific business and technical requirements. - **Data Modeling & Governance**: Design logical and physical data models for the data lakehouse, and implement data governance, data quality, and security best practices. - **Proof of Concepts (PoCs)**: Lead and execute PoCs to validate architectural approaches and demonstrate the business value of new technologies and methodologies. - **Roadmap & Strategy**: Contribute to the development of the overall data strategy and technology roadmap, ensuring alignment with business goals and industry best practices. - **Cost Optimization**: Design solutions focusing on performance and cost-effectiveness while implementing cost management and optimization strategies for Azure data services. ## Qualifications - **Educational Background**: Bachelor’s degree in Computer Science, Information Technology, or a related field; further education (e.g., Master’s or certification) is a plus. - **Technical Skills**: Proficiency in Microsoft Azure services and data architecture best practices; experience in data modeling and governance. - **Soft Skills**: Strong analytical and problem-solving skills, effective communication and collaboration abilities, and stakeholder management expertise. - **Certifications**: Relevant Azure certifications (e.g., Azure Solutions Architect Expert) are strongly preferred. ## Preferred Skills - Experience in other cloud platforms (AWS, Google Cloud) can be beneficial. - Familiarity with big data technologies and frameworks (e.g., Apache Spark) is a plus. - Understanding of data security and privacy regulations (GDPR, CCPA). ## Experience - A minimum of **5-7 years** of experience in data architecture and solutions design, with a focus on cloud-based solutions and Azure services. ## Environment - (Work setting details are not specified; consider standard environments for technology roles, which may include hybrid or remote opportunities depending on the company's policies.) ## Salary (Salary information is not specified.) ## Growth Opportunities (Details about potential career advancement opportunities within the company are not specified.) ## Benefits (Information about offered benefits is not provided.)