
Chief Data Architect
1 day ago
We are seeking an experienced data architect to lead the development of high-performance data platforms and advanced analytics capabilities across the enterprise.
The successful candidate will be responsible for designing and implementing scalable data solutions, establishing engineering standards, and empowering cross-functional teams to deliver production-grade data products that meet business needs.
Key Responsibilities:
- Develop a strategic data architecture vision aligned with enterprise goals and objectives.
- Design and implement 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 architects and engineers to deliver reusable data pipelines, feature stores, and model training workflows.
- Implement CI/CD and MLOps practices for data and ML lifecycle automation.
- Enable rapid experimentation and deployment of predictive models, optimization algorithms, and statistical analyses.
Qualifications:
- 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.
- Proven leadership in building and scaling data and ML engineering teams.
- Hands-on expertise with tools like Apache Spark, Airflow, dbt, MLflow, TensorFlow/PyTorch, and cloud data platforms (AWS/GCP/Azure).
- Strong understanding of data modeling, distributed systems, and ML lifecycle management.
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