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Data Architect Lead
hace 2 meses
About Perficient
Perficient is a leading global digital consultancy that transforms and connects prominent brands with their customers. We promote agile cultures and values, challenging, championing, and celebrating our people to build a great future together.
Job Summary
We are seeking a Data Engineer to play a crucial role in ensuring the smooth functioning of our data infrastructure and operations. As a Data Operations Engineer, you will design, implement, and maintain data pipelines, optimize data workflows, and troubleshoot any issues that may arise.
Responsibilities
- Design and implement scalable data architectures aligned with business and technical objectives.
- Create sophisticated data pipelines using Python, leveraging advanced Snowflake capabilities.
- Oversee the implementation, management, and optimization of Snowflake and BigQuery databases.
- Apply data warehouse concepts to manage vast data across multiple storage platforms.
- Collaborate with data scientists, product teams, and stakeholders to define and fulfill intricate data requirements.
Requirements
- Bachelor's degree in Computer Science, Information Systems, or a related discipline.
- 6+ years of experience as a Data Engineer or in a similar role, with a demonstrable track record of leading large-scale projects.
- Experience in Snowflake, Python, SQL, and BigQuery.
- Deep understanding of data warehouse concepts and data governance principles.
- Exceptional leadership, communication, and collaboration skills.
What We Offer
- Opportunity to lead the design and development of scalable data architectures.
- Chance to work with advanced Snowflake capabilities and data warehouse concepts.
- Collaborative environment with data scientists, product teams, and stakeholders.
- Professional growth and development opportunities.
About You
- Proven experience in data engineering or a similar role.
- Strong proficiency in programming languages such as Python, Java, or Scala.
- Familiarity with AWS Glue and DataZone for data ingestion, transformation, and governance.
- Deep understanding of data governance principles and data quality management practices.
How to Apply
Please submit your application with your resume and a cover letter outlining your experience and qualifications for the role.