Data Architect

Responsibilities

• Manage end to end delivery by Investigating problem areas, working cross-functionally with product manager & other stakeholders.
• Follow the Agile development methodology; think strategically and execute methodically.
• Develop and manage capacity and growth projection forecasts of the environment within budgets.
• Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements.
• Drive optimization, testing and tooling to improve quality of solutions.
• Manage teams that build and operate high volume distributed systems in a SaaS environment.
• Great at devising efficient processes that increase velocity and quality.

Desired Experience/ Skills:

• 10+ years of relevant experience
• At least 5 years of experience building and leading highly complex, technical engineering teams.
• Strong hands-on experience in Data bricks
• Experience managing distributed teams preferred.
• Strong technical experience in large distributed systems, Data Warehousing, Data Lake at scale Project management skills: financial/budget management, scheduling and resource management experience with medium and large-scale projects
• Comfortable working with ambiguity and multiple stakeholders.
• Comfortable working cross functionality with product management and directly with customers; ability to deeply understand product and customer personas.
• Architecture Design Experience for Cloud and Non-cloud platforms
• Expertise on Azure Cloud platform
• Knowledge on orchestrating workloads on cloud
• Ability to set and lead the technical vision while balancing business drivers
• Strong experience with PySpark, Python programming
• Proficiency with APIs, containerization and orchestration is a plus