
Drive Business Growth as a Lead Data Architect
10 hours ago
You will play a pivotal role in crafting and implementing data architectures that drive business growth and innovation.
About the RoleThe ideal candidate possesses a solid understanding of data modeling tools, pipeline orchestration tools, and modern data stacks such as Snowflake, Databricks, Apache Spark, and Kafka.
- Key Responsibilities:
- Design and implement data architectures that meet business requirements.
- Develop data models and data pipelines using SQL and cloud-based tools.
- Collaborate with cross-functional teams to ensure data governance, security, and compliance.
- Maintain and improve existing data architectures to optimize performance and scalability.
- Must-Have:
- Proficiency in SQL and data modeling tools.
- Familiarity with modern data stacks (Snowflake, Databricks, Apache Spark, Kafka).
- Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP).
- Solid understanding of security best practices (IAM, encryption, data masking, tokenization).
- Strong knowledge of data governance, cataloging, and metadata management.
- Excellent communication and stakeholder engagement skills.
- Good-to-Have:
- Cloud certifications.
- Experience with AI/ML data pipelines or MLOps integration.
- Familiarity with Data Mesh, Data Fabric, or event-driven architectures.
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