Data Engineering Architect

4 weeks ago

Atlanta, Georgia, United States Deluxe Corporation Full time

Data Engineering and Architecture Lead

This role focuses on designing and developing the Deluxe Data Platform, including data architecture, platform capabilities, data model, and delivery pipeline. The ideal candidate will have expertise in data governance, cataloging design, data store/lake design, transformation, and ingestion flows.

The Data Engineering and Architecture Lead will work closely with data engineers, architects, product management, data providers, compliance, and infrastructure teams to design and develop the best-in-class Deluxe Data Discovery platform.

Responsibilities include participating in data asset management, regulatory compliance, internal and external audits associated with supplier and/or customer data. The candidate will also be responsible for architecture, design, build, and implementation of technical solutions and capabilities for the Data Platform.

Key Responsibilities:

  • Design and develop the Deluxe Data Platform, including data architecture, platform capabilities, data model, and delivery pipeline.
  • Work closely with data engineers, architects, product management, data providers, compliance, and infrastructure teams to design and develop the best-in-class Deluxe Data Discovery platform.
  • Participate in data asset management, regulatory compliance, internal and external audits associated with supplier and/or customer data.
  • Architecture, design, build, and implementation of technical solutions and capabilities for the Data Platform.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, Information Technology, Business, or related field.
  • 5 years of experience mastering the understanding of business complexities, problems, or opportunities and applies expert knowledge, skills, and experiences to assist IT and Business stakeholders in aligning strategy and objectives to an acceptable solution/outcome.
  • 5 years of experience in Microsoft ETL data ingestion framework specifically SQL Server, SSIS DevOps.
  • 5 years of experience in SQL server development and management tools.
  • 5 years of experience in file management, data storage management, and operations on premise and cloud.
  • 5 years of experience with data pipeline management frameworks on AWS cloud.
  • 5 years of experience with Python, R scripting, and IDEs like Jupitar notebook, RStudio.

Preferred Qualifications:

  • Bachelor's degree in Data Science and Analytics.
  • 7 years of experience in Data Science, Analytics, ML/AI data modeling, data governance, and data delivery platform design on multiple cloud platforms like AWS.
  • Expert in Python, R scripting, and IDEs like Jupitar notebook, RStudio.
  • Familiarity with data pipeline management frameworks on multiple clouds (Azure, Google).
  • Good understanding of Apache Spark operations and monitoring.
  • Familiarity with open-source data wrangling tools and technologies.
  • Familiarity with Apache Hadoop, Hive, Impala, etc.
  • Familiarity with NoSQL databases like MongoDB, Graph databases like Neo4j, Amazon Neptune, etc.
  • Worked in data supply chain management for a large data aggregator.
  • Worked in data-driven marketing businesses.
  • Solid understanding of Cloud data warehousing and archiving tools.
  • Solid understanding of high-volume data processing frameworks on premise and Cloud.

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