Experienced Data Architect designing and implementing scalable data architecture for a financial services and healthcare technology company. Collaborating across teams to support analytics and operational needs.
Responsibilities
Design and define data products, including dimensional models such as Star and Snowflake schemas.
Architect scalable data acquisition patterns from databases, APIs, files, and messaging systems such as Kafka.
Design and implement data validation, enrichment, and transformation processes using Python and pySpark.
Establish frameworks for data quality, metadata management, data governance, and security.
Define strategies for data distribution and consumption via files, APIs, messaging platforms, warehouses like Snowflake, and analytics tools.
Collaborate with data engineers, analysts, and business stakeholders to translate requirements into scalable architectures.
Evaluate and integrate emerging technologies to optimize performance, scalability, and cost efficiency.
Ensure data architectures follow best practices for reliability, performance, and maintainability.
Requirements
Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
7+ years of experience in data architecture, data engineering, or related roles.
Strong expertise in data modeling, including Star and Snowflake schemas.
Experience designing modern lakehouse architectures (e.g., Apache Iceberg).
Proficiency with analytics and query platforms such as Trino (Presto), StarRocks, and Snowflake.
Hands-on experience with Python and pySpark for data processing and transformation.
Experience with streaming and messaging systems such as Kafka.
Strong understanding of data governance, data quality frameworks, metadata management, and security best practices.
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