Director-Data Engineering & AI Solutions
- Inoptra Digital
- 15 - 22 years
- Bengaluru
- 1 month ago
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Job Description
Director - Data Engineering & AI Solutions
Exp: 15-22 Years (Databricks certification added advantage)
Industry Domain Expertise
- Retail:
- Telecommunications:
- BFSI:
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
--
Regards,
Sheetal S
InOpTra Digital Pvt Ltd
sh************a@in****a.com
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Inoptra DigitalLocation(s): Bengaluru
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Keyskills: Data Engineering Artificial Intelligence Data Lake ETL Data Bricks Ci/Cd
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