AVP, Principal Software Engineer (L11)
HybridHyderabad, Telangana, India
Job Summary
Lead and mentor a team of data, analytics, and cloud engineers, ensuring best practices in data development, testing, and deployment. Conduct in-depth data analysis to uncover insights, trends, and anomalies that support business decisions. Collaborate with cross-functional teams including BI, data science, and business stakeholders to translate data needs into technical solutions involving AWS cloud components like EMR, S3, and Athena. Guide the team in architecting resilient, scalable solutions using Java Spring Boot microservices and enforce engineering best practices through code reviews. Stay updated on emerging technologies to suggest improvements to the data platform architecture and support data lineage and metadata management efforts. This people manager role focuses on fostering a collaborative, growth-oriented environment within the API Engineering team.
Required Qualifications
- Minimum 6+ years of Expertise in Data Warehousing and Enterprise Data Lake architectures
- strong understanding of API development in complex large-scale environments
- Minimum 4+ years of Strong SQL proficiency (complex and optimized queries for large-scale analysis/transformation)
- hands-on experience with Python/PySpark
- AWS EMR, S3, and Athena
- Proven people leadership: ability to lead and mentor a technical team, perform code reviews, and enforce engineering best practices
- Good understanding of AI/ML readiness for modern data/API platforms: ability to incorporate AI-assisted engineering practices (e.g., prompt-driven coding support, AI-based code review/testing assistance) and apply responsible AI principles (privacy, security, and bias awareness) while building/operating data services
- Minimum 6+ years of software development experience
- strong understanding of various programming languages, frameworks, and technologies
- API development in complex large-scale environments
- Minimum 2+ years in a leadership role (e.g., team lead, senior developer, or architect), managing or mentoring a team of developers
- available between 06:00 AM Eastern Time – 11:30 AM Eastern Time
- Must not be any corrective action plan (First Formal/Final Formal, LPP)
- L09 + Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible
Desired Qualifications
- Experience with metadata management and governance tooling such as Apache Atlas and cloud-native data engineering practices
- familiarity with Lake Formation governance capabilities
- AI engineering exposure: experience integrating or supporting AI/ML workloads on data platforms (e.g., feature preparation pipelines, model inference enablement, or MLOps-style operationalization) and using AI-assisted developer tooling to improve engineering productivity and quality
- Experience with Agile project management methods and practices
- AWS (or other cloud) certifications
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