
Chief Data Solutions Architect
1 day ago
We are seeking a Senior Lead Data Engineer to join our team.
This role is responsible for leading the development of scalable data solutions, defining and enforcing data quality standards, and designing enterprise-grade data models.
- Design and optimize complex data pipelines using Databricks and Azure Data Services.
- Lead the development of scalable data solutions using Python, PySpark, and distributed computing frameworks.
- Define and enforce data quality standards, ensuring data is timely, accurate, and complete.
- Design and maintain enterprise-grade data models using star and snowflake schemas.
- Write and review advanced SQL, including CTEs, aggregations, and complex joins.
- Collaborate with cross-functional teams to translate business needs into robust data solutions.
- Champion documentation, metadata management, and data governance practices.
- Guide the development of Power BI and Sigma Computing dashboards and semantic models.
- Integrate data from relational (Oracle, SQL Server, Postgres) and NoSQL (MongoDB) sources.
- Lead integration efforts with Informatica Cloud Platform, including Customer 360, Reference 360, and MDM SaaS.
- Architect and implement real-time data ingestion using Kafka, AWS SNS/SQS, and event driven patterns.
- Use GitHub for source control, code reviews, and CI/CD workflows.
- Mentor junior engineers, promote knowledge sharing, and foster a culture of technical excellence.
Requirements:
- Expert-level proficiency in Python, PySpark, and distributed data processing.
- Deep understanding of data modeling, data warehousing, and ETL / ELT best practices.
- Advanced SQL skills, including CTEs, aggregations, and joins.
- Proven experience implementing data quality frameworks and scalable data architectures.
- Strong working knowledge of Power BI, Sigma Computing, and data visualization principles.
- Experience with Informatica Cloud tools and MDM strategies.
- Proficiency with relational databases and NoSQL technologies.
- Experience with real-time data streaming and event-driven architectures.
- Proficiency with GitHub and modern DevOps practices.
What We Offer:
Opportunities for growth and professional development.
Competitive salary and benefits package.
A collaborative and dynamic work environment.
And more...
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