The Role
Designs and leads Azure-based data analytics architectures, including data lakes, warehouses, integration pipelines, and Databricks solutions. Analyzes RFPs, clarifies requirements, proposes architectures, and estimates project effort, timelines, and costs. Develops data models and ETL processes, optimizes performance and scalability, applies governance and security controls, and maintains technical documentation. Requires strong communication, analytical skills, cloud data experience, and familiarity with Python, SQL, Spark, and Azure certifications.
Summary Generated by Built In
- Architect and Design: Lead the design and architecture of data analytics solutions on Azure, including data lakes, data warehouses, data integration pipelines, and Databricks.
- Azure Expertise: Utilize Azure services such as Microsoft Fabrics, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake, and Azure Machine Learning to build end-to-end data analytics solutions.
- Estimation & RFP Response :Proven ability to analyse and interpret customer requirements from RFP documents and supporting information.
- Skilled in identifying gaps and asking relevant, targeted questions to clarify requirements. Capable of proposing high-level solutions and architectural approaches aligned with customer needs. Experienced in estimating effort, timeline, and cost based on industry standards and technical scope, ensuring accuracy and alignment with project objectives
- Data Modeling: Develop and implement data models, ETL processes, and data integration solutions to ensure data is clean, accurate, and available for analysis.
- Performance Optimization: Optimize data storage and processing for performance, scalability, and cost-effectiveness.
- Governance and Security: Ensure that data solutions adhere to best practices for data governance, security, and compliance, including implementing role-based access control and encryption.
- Documentation: Create and maintain architecture diagrams, technical documentation, and best practices guides for data analytics solutions.
Requirements
- Education: Bachelor's or Master’s degree in Computer Science, Information Technology, or a related field.
- Experience: 10+ years of experience in data architecture, data engineering, or data analytics, with a focus on cloud-based solutions.
- Programming: Proficiency in programming languages such as Python, SQL, and familiarity with big data technologies like Apache Spark.
- Analytical Skills: Strong problem-solving skills with the ability to analyze complex data requirements and develop appropriate solutions.
- Communication: Excellent communication skills with the ability to work effectively with both technical and non-technical stakeholders.
- Certifications: Microsoft Azure certifications such as Azure Data Engineer, Azure Solutions Architect, Databricks or similar are highly desirable.
Skills Required
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field
- 10+ years of experience in data architecture, data engineering, or data analytics, focused on cloud-based solutions
- Proficiency in Python and SQL
- Familiarity with Apache Spark and big data technologies
- Strong problem-solving skills for analyzing complex data requirements and developing solutions
- Excellent communication skills with technical and non-technical stakeholders
- Microsoft Azure certifications, such as Azure Data Engineer or Azure Solutions Architect
- Databricks certification or similar certification
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The Company
What We Do
TechCarrot is a global IT services provider and digital-transformation partner, delivering cost-effective, customer-centric digital solutions to clients worldwide. Its 200-plus technology specialists provide services across multiple industries, aiming to create seamless customer experiences and support client growth. Founded in 2016 and headquartered in Dubai, the company serves the Middle East and Africa through UAE operations, APAC through India, and has also expanded into the United States and the Netherlands.
