Azure Data Analytics Technical Lead

Azure Data Analytics Technical Lead

The Opportunity:  

For an organization to transform in today’s digital world, it needs to properly collect, store, and organize its data. Effective data management can enable more efficient operations, yielding more growth. As a data architect, you know how to apply your creative thinking and analytical mindset to help organizations manage their data assets. We’re looking for a data architecture lead like you to solve complex challenges and deliver leading-edge solutions for our nation’s veterans.

As a data architect on our XaaS team, you’ll lead our data and analytics architecture strategy and work with our Solution Architects to validate architectural runway and incrementally evolve capabilities in alignment with VA Enterprise Architecture, Agile Standard Operating Framework, and VA Product Line Architecture guidelines. You’ll resolve routine data architecture-related issues in collaboration with business analysts and technology teams as they help the client overcome their most difficult data and analytic challenges in the cloud.

In this role, you’ll share your technical expertise, introduce best practices, and use tools like Azure Data Lake, Azure Synapse Analytics, Azure ML, Azure Databricks, and Data Factory. You’ll lead your team as it designs, defines, develops, and tests cloud solution components, and you’ll serve as a liaison between clients and developers to ensure that requirements are met and solutions are delivered.  

With your motivation to establish processes and facilitate technological innovation, you’ll make a lasting impact on veterans’ access to healthcare.

Join us. The world can’t wait. 

You Have: 

• 8+ years of experience as a Data Analytics Architect, Data Architect, Data Engineer, or Database Developer

• 3+ years of experience designing and implementing data solutions using Azure data analytics cloud services

• Experience designing end-to-end data and analytics solutions leveraging Azure Data services, including Azure Data Lake, Azure ML, Azure Databricks, and Data Factory

• Experience designing scalable data analytics architecture to implement advanced analytics solutions, including machine learning and AI, to extract actionable insights from data

• Experience with data modeling, ETL/ELT development, and data integration and orchestration techniques

• Experience with data lakes, lakehouses, modern data warehousing, and real-time data processing using Azure Cloud Data services

• Knowledge of data security, compliance, and privacy standards

• Ability to lead the technical architecture and orchestration of data-driven workflows, including data pipelines, ETL/ELT processes, and data models to enable efficient data transformation and loading from source into target systems

• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements

• Bachelor's degree in a Science, Technology, Engineering, or Mathematics field

Nice If You Have: 

• Experience with Veterans Affairs Corporate Data Warehouse (CDW), VX-130, data migration, and cloud architectures

• Experience developing modernization plans for IT systems across multiple domains

• Experience ensuring data security, compliance, privacy standards, and best practices are integrated into the architecture design and implementation

• Ability to collaborate with cross-functional teams to identify data and analytic problems and translate them into scalable, high-performance data architecture solutions

• Ability to provide technical leadership, mentorship, and guidance to junior team members, data engineers, data analysts, and architects

• Ability to stay up-to-date with the latest Azure data services, tools, and trends, and apply them to optimize our data and analytic cloud services

• Ability to collaborate with stakeholders to define data governance and data lifecycle management strategies, including DataOps or MLOps

• Possession of excellent communication, leadership, thought leadership, project management, and teamwork skills

• Master's degree in a Science, Technology, Engineering, or Mathematics field

• Azure Certifications, including Azure ML, Analytics Specialty, or Azure Solutions Architect Certification

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. governme