Senior Datawarehouse Engineer

We are seeking an experienced Senior Technical Data Engineer to join our data organization. This role combines hands-on technical work with people leadership responsibilities, including managing direct reports. You will play a key role in shaping how we build, scale, and evolve our data platform while building and mentoring a high-performing team.

The Role

- Serve as a Technical Lead within the Enterprise Data Warehouse team, providing strategic technical direction and hands-on expertise in designing, building, and optimizing scalable data solutions
- Act as a mentor and coach to junior and mid-level engineers, fostering a culture of continuous learning, technical excellence, and innovation
- Drive the adoption and implementation of AI-powered data solutions leveraging Microsoft Fabric or similar modern data platforms to enhance enterprise analytics capabilities
- Collaborate cross-functionally with business stakeholders, data scientists, analysts, and engineering teams to deliver high-quality data products that support organizational objectives
- Champion best practices in data engineering, including data modeling, ETL/ELT pipeline development, and data governance within a cloud-native environment

Key Responsibilities

- Architect and optimize Snowflake data warehouse solutions for performance, cost-efficiency, and scalability
- Leverage Snowflake Cortex Analytics capabilities for advanced analytics, ML-powered insights, and LLM integration
- Define data modeling strategies and ensure consistency across the data platform
- Drive technical decision-making on tooling, frameworks, and architectural patterns
- Develop and optimize complex data pipelines and integrations using Python and REST APIs to enable seamless data flow across systems
- Design and deploy AI/ML solutions utilizing Microsoft Fabric or equivalent platforms to drive automation and predictive analytics
- Mentor and guide team members through code reviews, technical discussions, pair programming, and knowledge-sharing sessions




- Collaborate with stakeholders to gather requirements, translate business needs into technical specifications, and deliver solutions aligned with enterprise strategy
- Establish and enforce coding standards, documentation practices, and development workflows to ensure consistency and maintainability
- Troubleshoot and resolve complex data issues, performance bottlenecks, and production incidents in a timely manner
- Stay current with emerging technologies and industry trends, recommending and piloting recent tools and approaches to improve team capabilities
- Participate in Daily/Weekly operational meetings and contribute to sprint planning, estimation, and continuous improvement initiatives

Qualifications

Required:

- 12+ years of progressive experience in IT, data engineering, or related technical roles
- 5+ years of strong hands-on experience with Snowflake, including data modeling, performance tuning, and administration
- Proven expertise in Python development, including scripting, automation, and REST API integration
- Experience with Snowflake Cortex analytics or similar AI/ML capabilities within a data platform
- Proficiency in AI/data solutions using Microsoft Fabric, Azure Synapse, Databricks, or comparable platforms
- Experience with Power BI or similar business intelligence/reporting tools for data visualization and analytics
- Demonstrated leadership experience mentoring engineers and leading technical initiatives
- Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences
- Strong problem-solving abilities with a proactive, solutions-oriented mindset
- Proven track record of cross-functional collaboration and working effectively in team environments

Preferred:

- Experience with cloud platforms (Azure, AWS, or GCP)
- Knowledge of data governance, data quality frameworks, and metadata management
- Familiarity with DevOps practices, CI/CD pipelines, and version control (Git)
- Experience with dbt, Airflow, or other modern data orchestration tools
- Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or a related field

📌 Senior Datawarehouse Engineer (Telangana)
🏢 Advanced Micro Devices (AMD)
📍 Telangana