Data Architect

Responsibilities:

• Design and architect enterprise-scale data platforms, integrating diverse data sources and tools.
• Develop real-time and batch data pipelines to support analytics and machine learning.
• Define and enforce data governance strategies to ensure security, integrity, and compliance along with optimizing data pipelines for high performance, scalability, and cost efficiency in cloud environments.
• Implement solutions for real-time streaming data (Kafka, AWS Kinesis, Apache Flink) and adopt DevOps/DataOps best practices.

Required Skills:

• Strong experience in designing scalable, distributed data systems and programming (Python, Scala, Java) with expertise in Apache Spark, Hadoop, Flink, Kafka, and cloud platforms (AWS, Azure, GCP).
• Proficient in data modeling, governance, warehousing (Snowflake, Redshift, Big Query), and security/compliance standards (GDPR, HIPAA).
• Hands-on experience with CI/CD (Terraform, Cloud Formation, Airflow, Kubernetes) and data infrastructure optimization (Prometheus, Grafana).

Nice to Have:

• Experience with graph databases, machine learning pipeline integration, real-time analytics, and IoT solutions.
• Contributions to open-source data engineering communities.