
Chief Data Architect
1 day ago
Job Overview
We are seeking a seasoned professional to lead the development of scalable, high-performance data platforms and advanced analytics capabilities across our organization. This role combines deep technical expertise in modern data engineering with a strong foundation in data science to enable business-driven innovation, operational efficiency, and AI readiness.
You will be responsible for building a robust data practice, establishing engineering and modeling standards, and empowering cross-functional teams to deliver production-grade data solutions that are secure, explainable, and impactful.
Data Platform Strategy & Innovation
- Develop and execute a cutting-edge data engineering and analytics strategy aligned with enterprise AI and digital transformation goals.
- Design and architect scalable, cloud-native data platforms using technologies like Apache Spark, Kafka, Delta Lake, and Snowflake.
- Promote the adoption of data mesh, lakehouse, and real-time streaming architectures.
Practice Building & Talent Development
- 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.
- Foster a 'ready-to-deploy' talent pool to support cross-functional data and AI initiatives.
Engineering & Delivery Enablement
- 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.
Advanced Analytics & Data Science Enablement
- Enable rapid experimentation and deployment of predictive models, optimization algorithms, and statistical analyses.
- Catalyze collaboration between data scientists and engineers to operationalize models at scale.
- Support use cases across customer intelligence, operations, finance, and product analytics.
Governance, Quality & Responsible Data Use
- Establish enterprise-wide data governance, lineage, and quality frameworks.
- Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and ethical AI standards.
- Participate in data governance councils and model risk committees.
Qualifications
- Required:
- 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.
- Preferred:
- Experience in building Data & AI Centers of Excellence or technical communities of practice.
- Familiarity with GenAI, feature engineering at scale, and real-time inference systems.
- Certifications in cloud data services and MLOps platforms.
- Recognized thought leadership in data engineering or data science (e.g., speaking engagements, publications, OSS contributions).
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