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▷ [Apply Now] Solution Architect
4 weeks ago
Responsibilities:
- Solution Design: Collaborate with clients and internal teams to understand business requirements and objectives. Develop end-to-end solution architectures that align with these requirements, considering scalability, performance, security, and usability- Technical Leadership: Provide technical leadership throughout the project lifecycle. Guide development teams, ensuring adherence to architectural best practices, coding standards, and design patterns- Requirements Analysis: Analyze client requirements, identifying opportunities for innovation and improvement. Translate business requirements into technical specifications and architectural designs- Stakeholder Communication: Communicate complex technical concepts to both technical and non-technical stakeholders effectively. Engage in discussions with clients, project managers, developers, and other relevant parties to ensure a clear understanding of the architectural vision- Technology Evaluation: Research and evaluate emerging technologies, tools, and frameworks that could enhance the solution's architecture. Make recommendations based on the evaluation to optimize system performance and efficiency- Risk Assessment: Identify potential technical risks and challenges early in the project lifecycle. Develop mitigation strategies and contingency plans to ensure the project's success- Quality Assurance: Define and enforce quality assurance processes to ensure that the developed solutions meet architectural standards and business requirements. Conduct code reviews and design reviews to maintain consistency and quality- Solution Documentation: Create comprehensive documentation, including architectural diagrams, design documents, technical specifications, and guidelines for development teams- Collaboration: Work closely with project managers, business analysts, and developers to ensure seamless collaboration between teams. Provide guidance and support to cross-functional teams to address technical issues and challenges
Requirements
Must-have
- Intermediate to Advanced working knowledge of Spark (Just traditional Hadoop bases experience will not be sufficient)- Hands-on experience with advanced SQL, and at least one of Python / Scala / Java- Expertise in at least one of the three data personas: - Data Engineering, Data Analytics, and BI or ML Engineering- Hands-on experience with at least one of the Public Clouds (AWS / Azure / GCP) and its native Data "Managed Services" ( Examples: EMR / Athena / SageMaker/ Synapse / Azure ML / Data Proc / Big Query etc)- Familiarity with the core concepts of cloud architecture (fundamentals of cloud networking, cloud object stores, security & IAM etc )
Good-to-have
Experience in implementation/migration projects on Databricks and Databricks Certification are big positives.
- Experience in Data Orchestration tools or Data Ingestions tools- Performance tuning skills on Spark, query tuning skills on distributed query engines- Cloud best practices around Data movement, governance frameworks- Dev Ops on Cloud, experience with Infa-as-code solutions like Terraform or CloudFormation
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