Senior Data Architect

3 weeks ago


Raleigh, North Carolina, United States Focused HR Solutions Full time
Job Overview
Raleigh, NC is home to a unique opportunity for an experienced Data Engineer to join our team at Focused HR Solutions. We are seeking a skilled professional with expertise in data engineering and cloud computing to play a key role in modernizing our technology stack and driving digital transformation.

Salary Range: $120,000 - $150,000 per annum

About the Role
This is a 4+ month position with the option of extension, working 100% on-site in Raleigh, NC. As a Data Engineer, you will be responsible for using various methods to import raw data into Azure Cloud, analyzing data, and creating rules for the ETL process. You will identify business rules and apply them to files stored in the staging area before moving them to the processed area.

Key Responsibilities:
  • Cross-Functional Collaboration: Work closely with business teams to understand requirements, analyze, and organize raw data import by identifying ETL rules.
  • Data Migration: Identify and apply transformation rules for legacy data migration from mainframe systems to the Azure cloud platform.
  • Data Pipelines and ETL Processes: Develop and implement data pipelines, ETL processes, and data integration solutions to facilitate data conversion.
  • Documentation and Leadership: Develop and maintain documentation, best practices, and standards for data engineering processes and procedures. Provide technical leadership and mentorship to team members, guiding them in best practices for data engineering and cloud migration projects.

Requirements and Skills:
The ideal candidate will have a strong background in data engineering, along with expertise in cloud computing. Key skills include:
  • Data Modeling and Database Design: Proficiency in designing and implementing relational and non-relational databases, knowledge of data modeling techniques and tools.
  • Azure Data Services: Deep understanding and hands-on experience with Azure data services such as Azure SQL Database, Azure Cosmos DB, Azure Data Lake Storage, Azure Blob Storage, etc.
  • ETL Processes: Expertise in designing and implementing ETL processes using tools like Azure Data Factory or Azure Databricks, knowledge of data integration and transformation techniques.
  • SQL and T-SQL: Proficient in writing complex SQL queries and stored procedures, familiarity with Transact-SQL (T-SQL) for managing and querying SQL Server databases.
  • Data Security and Compliance: Knowledge of data security best practices and experience implementing security measures for data storage and processing on Azure, awareness of compliance requirements and ability to implement solutions that adhere to NC DPI and DIT regulations.
  • Data Monitoring and Optimization: Ability to set up monitoring and logging for data pipelines and databases, skills in optimizing data storage and processing for performance and cost-effectiveness.
  • Scripting and Automation: Proficiency in scripting languages like Python or PowerShell for automating data engineering tasks, knowledge of Azure Resource Manager (ARM) templates for infrastructure as code.

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