Data Engineer building and scaling client - facing Microsoft Fabric analytics platform to drive revenue and decision - making. Collaborating with teams to develop pipelines, optimize performance, and ensure client satisfaction.
About the role
- 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.
- Excellent communication and collaboration skills.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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