Sr. Data Engineering Delivery Architect (Azure Data Services)

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Job Overview

The Senior Data Engineering Delivery Architect at Rackspace Technology will be responsible for leading the design and implementation of data solutions leveraging Azure Data Services. The ideal candidate will collaborate with cross-functional teams to define data architecture strategies, engineering processes, and best practices that align with business objectives. This role requires a deep understanding of cloud-based data platforms, data modeling, and data infrastructure optimization, ultimately enhancing the efficiency of data workflows and ensuring optimal data utilization for analytics and reporting.

Job Responsibilities

• Lead the architecture and design of scalable data pipelines and data models using Azure Data Services.
• Collaborate with stakeholders to identify data requirements and develop solutions that meet varying business needs.
• Optimize and maintain existing data workflows, ensuring data quality and accessibility.
• Develop and enforce data governance policies to ensure data integrity and security.
• Mentor and guide junior engineers on data engineering best practices and methodologies.
• Stay updated with industry trends and emerging technologies to drive innovation within the data engineering team.
• Facilitate discussions with clients regarding architectural decisions and implementation strategies.
• Create comprehensive documentation for data architectures, processes, and guidelines.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or a related field; advanced degree preferred.
• A minimum of 7 years of experience in data engineering or related roles, with a focus on Azure Data Services.
• Proficiency in SQL and familiarity with NoSQL databases.
• Hands-on experience with data modeling, ETL processes, and data warehousing technologies.
• Strong understanding of cloud computing concepts, particularly within the Azure ecosystem.
• Proven experience in leading projects and managing cross-functional teams.
• Excellent problem-solving skills and the ability to adapt to changing business requirements.
• Exceptional communication and delegation skills.

Technologies & Tools

The Senior Data Engineering Delivery Architect will primarily work with Azure Data Services, including Azure Data Factory, Azure Synapse Analytics, and Azure Databricks. Familiarity with data storage solutions such as Azure Blob Storage and SQL Database is essential. Additionally, proficiency in data processing languages and frameworks, including Python, Spark, and RESTful APIs, will be vital for successful design and delivery of data solutions.

Ideal Candidates

The ideal candidate for the Senior Data Engineering Delivery Architect position will possess a proactive mindset and a strong passion for data and analytics. A successful individual will demonstrate thorough attention to detail, exceptional organizational skills, and the ability to work collaboratively in a dynamic environment. Furthermore, qualities such as innovation, adaptability, and a continuous learning attitude will contribute significantly to the candidate’s success in this role. Strong interpersonal skills and the ability to engage effectively with both technical and non-technical stakeholders are crucial.