Director / Manager of Data Engineering & AI Solutions

Director / Manager of Data Engineering & AI Solutions

Exp: 15-22 Years (Databricks certification added advantage)

Qualifications & Experience

• Bachelor's or master's degree in Computer Science, Data Engineering, or related field; MBA or advanced degree preferred.
• 15+ years of experience in data engineering, distributed systems, or cloud data platforms, with at least 5 years in a director-level or equivalent leadership position.
• Proven track record of leading successful data engineering practices or departments in a services organization serving US and European markets.
• Strategic vision for designing and implementing enterprise data architectures that integrate with modern AI frameworks at scale.
• Technical background with major enterprise data tools (Informatica, IBM DataStage, Talend, Snowflake, Databricks) and open source frameworks (Hadoop, Spark, Kafka, Airflow).
• Proven experience with Python-based data engineering ecosystems and frameworks (pandas, NumPy, PySpark, Dask).
• Strong understanding of production-grade data pipeline development, orchestration, and monitoring with tools like Apache Airflow, Luigi, or Prefect.
• Experience overseeing the development of data pipelines and platforms that integrate with AI/ML workflows and models.
• Track record of designing and implementing both batch and real-time data pipelines to support enterprise-scale data processing requirements.
• Demonstrated success in data platform cost optimization strategies, including resource rightsizing, query optimization, and efficient data storage implementations.
• Experience implementing performance tuning for large-scale data pipelines, including parallelization strategies, memory management, and query optimization.
• Proven ability to reduce cloud infrastructure costs while maintaining or improving data processing performance.
• Demonstrated ability to lead CXO-level technical discussions about enterprise data strategy and digital transformation initiatives.
• Understanding of technical architecture principles and patterns for enterprise data platforms.
• Experience establishing cloud platform strategies with AWS, Azure, or GCP for large-scale data services.
• Track record of implementing organizational data governance, data quality, and data cataloging solutions.
• Strong understanding of emerging data engineering technologies and ability to develop innovation roadmaps.
• Executive-level communication, presentation, and interpersonal skills, with the ability to influence C-suite stakeholders and drive strategic partnerships.
• P&L management experience with demonstrated success growing revenue and managing departmental budgets.
• Ability to drive organizational change and work in a fast-paced, dynamic environment.
• Extensive experience working with US and European enterprise clients is required.
• History of successful business development and account expansion in professional services organizations.

Please share your resume if you are interested

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Regards,

Sheetal S

InOpTra Digital Pvt Ltd

sheetal.suresha@inoptra.com