Senior Data Platform Engineer- Remote

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Job Overview

As a Senior Data Platform Engineer at First Citizens Bank, you will play a critical role in designing, implementing, and maintaining scalable data platforms that support our business analytics and decision-making processes. Your expertise will facilitate the development of data pipelines, the integration of various data sources, and the optimization of data storage and access strategies. Collaborating with cross-functional teams, you will ensure that our data architecture aligns with the organization's objectives and enhances our operational efficiency. Your technical acumen will be essential in troubleshooting data-related issues and implementing best practices in data governance and security.

Job Responsibilities

• Design and develop robust data pipelines to support data ingestion, transformation, and storage.
• Manage and optimize data architecture to ensure high performance and reliability of data flows.
• Collaborate with data scientists and analysts to understand data needs and provide effective solutions.
• Implement best practices in data governance, security, and compliance across data platforms.
• Monitor data pipeline performance and troubleshoot issues as they arise to ensure continuous data availability.
• Evaluate and recommend new data technologies to improve data management and analytics capabilities.
• Document data processes and technical specifications for future reference and operational continuity.
• Lead and mentor junior engineers, providing technical guidance and support.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• A minimum of 5 years of experience in data engineering or a similar role.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong knowledge of SQL and experience with relational and non-relational databases.
• Familiarity with cloud technologies such as AWS, Azure, or Google Cloud Platform.
• Experience with data processing frameworks like Apache Spark or Apache Kafka.
• Solid understanding of data modeling, ETL processes, and data warehousing solutions.
• Excellent problem-solving skills and attention to detail.

Technologies & Tools

This position will involve working with an array of technologies and tools, including but not limited to data warehousing solutions (such as Snowflake, Redshift, or BigQuery), data processing frameworks (like Apache Spark and Hadoop), and programming languages such as Python and SQL. Familiarity with cloud services from providers like AWS, Azure, or Google Cloud Platform is essential, as is experience with visualization tools like Tableau or Power BI for presenting data insights.

Ideal Candidates

The ideal candidate for the Senior Data Platform Engineer role will possess strong analytical thinking and problem-solving abilities, enabling them to effectively address complex data challenges. They should demonstrate a proactive approach to learning and adopting new technologies, as well as a passion for optimizing data systems. Excellent communication skills are crucial, as the role requires collaboration with various teams across the organization. A commitment to mentoring and developing junior staff is also desirable, as is an understanding of best practices in data security and governance.