Description

Skills

PySpark
Databricks
AWS
SQL

Job Description

⦁ Create business requirement documents covering functional and non-functional requirements, basis information gathered as part of workshops and interviews with client stakeholders
⦁ Review, propose, and develop solution architecture, ensuring application design aligns with the proposed framework and which are scalable, reliable and maintainable
⦁ Assess and recommend suitable technologies, tools and platforms for implementation as a part of architectural design, to meet business requirements
⦁ Review technical solutions and develop strategies for integration with different technologies and systems, to ensure seamless communication and data flow
⦁ Resolve complex technical challenges during build, deployment, and support phases while promoting reusable frameworks and artifacts
⦁ Provide specialized insights to development team and build collaborative relationships with clients and internal teams, securing successful execution of projects
⦁ Identify potential risks in the system landscape, monitor system performance and suggest optimization initiatives in line with business requirements and long-term objectives
⦁ Establish and uphold comprehensive knowledge base to guarantee that vital information is systematically recorded and readily available
⦁ Contribute to proposals and RFPs by delivering insights related to architectural solutions, for successfully delivering the proposed solutions

Your contribution to the team:

⦁ Expertise in designing and reviewing solution architectures that align with business goals.
⦁ The ability to provide architectural insights to strengthen solution proposals and ensure successful delivery.
⦁ A strategic mindset to align technical solutions with business goals and market trends.
⦁ Proactively drive initiatives to ensure smooth execution and transition of projects.
⦁ The ability to engage with clients and internal teams to build strong and productive relationships.
⦁ Passion for mentoring and fostering a knowledge-sharing culture.

Required Skill and Experience

• Hands on experience in Data Engineering, Data Warehousing, and Data Architecture.
• Strong hands-on expertise in Databricks, PySpark, SQL, and AWS.
• Proven experience leading enterprise-scale migration and modernization programs.
• Experience in CI/CD, data governance, and engineering best practices.
• Strong stakeholder management and technical leadership skills.

Preferred Skill and Experience

• Experience leveraging AI accelerators for code generation, code review, testing, and deployment automation.
• Data quality frameworks, validation controls, monitoring, observability, and root-cause analysis

Key Skills

Education

Any Graduate