
Unlocking Business Potential through Advanced Analytics
10 hours ago
About the Role:
We are seeking a seasoned Senior Data Engineering Leader to spearhead our data engineering capabilities. This is a unique opportunity to shape our company's data strategy and drive innovation, efficiency, and AI readiness across the enterprise.
The ideal candidate will have a deep understanding of data modeling, distributed systems, and ML lifecycle management, as well as hands-on experience with tools like Apache Spark, Airflow, dbt, MLflow, TensorFlow/PyTorch, and cloud data platforms.
Responsibilities:
- Define and execute a modern data engineering and analytics strategy aligned with enterprise AI and digital transformation goals.
- Architect scalable, cloud-native data platforms using technologies like Spark, Kafka, Delta Lake, and Snowflake.
- Drive adoption of data mesh, lakehouse, and real-time streaming architectures.
- Build and scale a high-performing team of data engineers, data scientists, and ML engineers.
- Design internal training programs and career pathways to upskill talent in data engineering, ML modeling, and analytics.
- Establish a 'ready-to-deploy' talent pool to support cross-functional data and AI initiatives.
- Lead the development of reusable data pipelines, feature stores, and model training workflows.
- Implement CI/CD and MLOps practices for data and ML lifecycle automation.
- Promote modular, reusable components for data ingestion, transformation, and model deployment.
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Engineering, Statistics, or a related field.
- 10+ years of experience in data engineering, analytics, or data science roles.
- Excellent leadership skills with a proven track record of building and scaling data and ML engineering teams.
- Strong technical expertise in data modeling, distributed systems, and ML lifecycle management.
What We Offer:
- A dynamic work environment with opportunities for growth and professional development.
- Competitive compensation and benefits package.
- Collaborative team culture with a focus on innovation and excellence.
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