Director of Software Engineering- Python , Snowflake

Role Overview:

Key Responsibilities:

• Architect and implement modern, scalable data solutions across hybrid cloud and on-prem environments, addressing both OLTP and OLAP requirements.
• Set high standards for data engineering practices, including data modeling, ETL/ELT, data quality, governance, and metadata management. Directly contribute to solution design and development.
• Oversee, mentor, and develop data engineering team, ensuring alignment with business objectives and technology strategy.
• Drive initiatives to consolidate, de-duplicate, and migrate legacy Oracle databases and big data platforms to modern, cloud-based data platforms.
• Champion best practices in data engineering, security, risk management, regulatory compliance, and automation.
• Present data strategies, architecture decisions, and project updates to senior stakeholders. Collaborate cross-functionally with software engineering, analytics, and business teams.
• Balance urgent operational needs with long-term strategic goals, prioritizing initiatives for maximum business impact.
• Foster a culture of collaboration, integrity, innovation, and continuous improvement within the data engineering organization

Required Skills & Experience:

• 10+ years in data engineering, with a proven track record of leading large-scale data architecture and transformation projects in hybrid cloud and on-prem environments.
• Deep expertise in data modeling, database design, big data technologies, cloud data platforms (AWS, Azure, GCP), and modern data tools (e.g., Snowflake, Databricks, Airflow).
• Strong experience architecting and optimizing transactional and analytical data systems.
• Mastery of ETL/ELT pipelines, data migration, data quality frameworks, data governance, and metadata management.
• Proficiency in data modeling & engineering tools and prefer to have working experience of enterprise-grade languages (e.g., Python)
• Solid background in data security, risk management, and regulatory compliance.
• Demonstrated ability to lead, mentor, and inspire data engineering teams, including cross-functional and global teams.
• Excellent interpersonal, presentation, and stakeholder management skills.

Attitude & Behavioral Traits:

• Action-oriented, decisive, drives results systematically.
• Skilled at assessing risk and making decisions with a holistic, big-picture perspective.
• Demonstrates a can-do attitude and leads by example.
• Detail-oriented, able to distinguish between important and urgent tasks.
• Prioritizes helpfulness, mentorship, and team development.
• Acts with integrity.