Solution Architect

As a Solution Architect, you will play a critical role in designing and implementing scalable, high-performance solutions that leverage cloud technologies. You will work closely with cross-functional teams to understand business requirements and translate them into technical solutions, ensuring alignment with our overall architecture strategy. The ideal candidate should have a strong background in cloud technologies, data integration, and analytics.

Key Responsibilities:

• Architecture Design:

  Develop high-level architecture designs and detailed technical specifications for data solutions using Azure, Data Factory, Data Lake, and other relevant tools.

• Data Integration:

  Design and implement ETL processes using industry-standard ETL tools to extract, transform, and load data from various sources into data lakes and warehouses.

• Data Warehousing:

  Build and optimize data warehousing solutions using best practices to ensure high performance, reliability, and scalability.

• Business Intelligence:

  Collaborate with BI teams to design effective dashboards and reporting solutions using BI tools like Qlik and Power BI, ensuring data visualization aligns with business objectives.

• Collaboration:

  Work closely with cross-functional teams, including data engineers, analysts, and business stakeholders, to gather requirements and ensure solutions meet business needs.

• Best Practices:

  Establish and promote best practices for cloud data architecture, including data governance, security, and compliance considerations.

• Documentation:

  Create and maintain comprehensive documentation of architecture designs, data flows, and technical processes.

• Technical Leadership:

  Provide guidance and mentorship to junior team members and contribute to the continuous improvement of our data solutions.

Qualifications:

• Bachelor's degree in computer science, Information Technology, or a related field.
• Proven experience as a Solution Architect or in a similar role, with a focus on Azure data services.
• Extensive expertise in Azure Data Factory, Azure Data Lake, ETL tools (e.g., Talend, Informatica, SSIS), and data warehousing tools.
• Strong knowledge of Business Intelligence tools, specifically Qlik and Power BI.
• Experience with data modelling, database design, and data integration techniques.
• Strong expertise in Microsoft Azure services, particularly Data Lake and Data Factory.
• Proficient in programming languages such as Python.
• Experience with CI/CD tools, specifically Jenkins.
• Proficient in SQL and experience with cloud-based databases (e.g., Azure SQL Database, Azure Synapse Analytics).
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• Strong communication skills to articulate complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

• Relevant certifications in Azure (e.g., Azure Solutions Architect Expert).
• Experience in big data technologies (e.g., Spark, Hadoop).
• Knowledge of DevOps practices and tools.