Data Architect

Responsibilities:

• Architectural Leadership: Serve as a Data Architect, leading the design and implementation of robust, scalable, and high-performance data solutions.
• ETL Design & Development: Design, develop, and optimize complex ETL (Extract, Transform, Load) processes to integrate data from various sources into data warehouses and other data platforms.
• Data Modeling: Create and maintain logical and physical data models for transactional systems, data warehouses, and data lakes, ensuring data integrity, consistency, and optimal performance.
• Data Warehouse Management: Oversee the design, development, and maintenance of data warehousing solutions, ensuring efficient storage, retrieval, and analysis of large datasets.
• SQL Expertise: Utilize advanced SQL skills for data querying, manipulation, and optimization across various database systems.
• PySpark Development: Apply strong hands-on experience with PySpark for big data processing, transformation, and analysis, especially in cloud environments.
• Cloud Data Solutions: Design and implement data solutions leveraging various cloud platforms (e.g., AWS, Azure, GCP), including understanding of cloud-native data services.
• Technical Strategy & Roadmapping: Contribute to the overall data strategy and roadmap, identifying opportunities for data innovation, governance, and security.
• Performance Optimization: Proactively identify and resolve data performance bottlenecks, ensuring efficient data processing and retrieval.
• Collaboration & Mentorship: Collaborate with data engineers, data scientists, and business stakeholders. Provide technical guidance and mentorship to junior team members.

Required Skills:

• Architect experience is mandatory.
• Strong expertise in ETL processes and tools.
• Proficiency in data modeling techniques.
• Extensive experience with data warehouse design and implementation.
• Strong command of SQL.
• Hands-on experience with PySpark.
• Demonstrated experience with Cloud data platforms and services.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills to effectively collaborate with various teams and stakeholders.