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Lead Data Architect

2 months ago

Arkansas, United States InterEx Group Full time

**Job Title:** Lead Data Engineer

**Job Summary:** InterEx Group is seeking a highly skilled Lead Data Engineer to join our team. As a key member of our data engineering team, you will play a critical role in designing, developing, and maintaining our data pipelines, data warehouses, and analytics solutions.

**Key Responsibilities:**

  • **Design and Develop Data Infrastructure:** Design, build, and maintain scalable data pipelines and data warehouses that support our data and analytics needs.
  • **Collaborate with Cross-Functional Teams:** Work closely with data scientists, analysts, and IT teams to understand data requirements and deliver solutions that drive business insights and decision-making.
  • **Data Integration and ETL:** Develop and manage data integration processes, including ETL (Extract, Transform, Load) workflows using SQL, Python, and Spark.
  • **Cloud Services:** Implement and optimize data solutions on Azure, including Azure Data Lake, Azure SQL Database, Azure Synapse Analytics, and other relevant Azure services.
  • **Performance Optimization:** Monitor and optimize the performance of data pipelines and storage solutions to ensure efficiency, scalability, and reliability.
  • **Data Governance and Security:** Ensure data governance, security, and compliance best practices are followed across all data engineering activities.
  • **Mentorship and Leadership:** Lead and mentor a team of data engineers, providing technical guidance, coaching, and fostering a culture of continuous learning and improvement.
  • **Stay Updated on Industry Trends:** Keep abreast of the latest trends and technologies in data engineering and retail analytics to drive innovation within the company.

**Qualifications:**

  • Bachelor's or Master's Degree in Computer Science, Information Technology, Data Science, or a related field.
  • 5+ years of experience in data engineering, with a proven track record of designing and building scalable data solutions.
  • Proficiency in SQL for data manipulation and querying.
  • Expertise in Python for scripting, data processing, and automation.
  • Experience with Apache Spark for big data processing.
  • Strong knowledge of Azure cloud services, including Azure Data Lake, Azure SQL Database, Azure Synapse Analytics, and related tools.
  • Leadership experience in guiding and mentoring data engineering teams.
  • Solid understanding of data modeling, ETL processes, and data warehousing.
  • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
  • Strong communication skills to collaborate effectively with technical and non-technical stakeholders.