Principal Solutions Engineer

Lockton; Kansas City (MO); On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Ongoing learning and development support

Career progression opportunities

Certification courses

Job summary

An established industry player is seeking a Principal Solutions Engineer to lead the design and implementation of innovative cloud-based solutions. This role involves architecting scalable data architectures on platforms like Microsoft Azure and Databricks, ensuring data security, and optimizing performance. You will collaborate with a variety of stakeholders to align data strategies with business goals while promoting best practices in data engineering and advanced analytics. Join a company that values ongoing learning and career development, offering you the chance to grow in both technical and leadership capacities.

Qualifications

• Experience with cloud-based solutions on Azure and Databricks.
• Strong communication skills for engaging diverse stakeholders.

Responsibilities

• Design and implement cloud-based solutions on Azure and Databricks.
• Collaborate with stakeholders to deliver data solutions.

Skills

Microsoft Azure

Databricks

Apache Spark

Hadoop

Data Engineering

ETL Processes

Data Governance

DevOps

Problem-solving

Communication Skills

Education

Bachelor's Degree in Computer Science or related field

Relevant Certifications

Tools

Azure Data Factory

PowerShell

Azure DevOps

Job description

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Your Responsibilities

• Solutioning, architecture, designing, implementing, and managing cloud-based solutions on the Microsoft Azure & Databricks platform.
• Working with data services and tools for efficient data processing, storage, and analysis.
• Collaborating with Business and Data/Analytics/Digital stakeholders to understand business goals and product needs.
• Developing and maintaining scalable Azure/Databricks data architecture aligned with business strategy.
• Designing, building, and maintaining scalable data pipelines and streams.
• Implementing data integration solutions, including ETL processes.
• Managing data storage solutions like data warehouses and lakes using Azure services.
• Utilizing Azure Databricks, Data Factory, and advanced analytics tools for data processing and analysis.
• Ensuring data security and compliance with regulations.
• Staying updated with Azure technologies and industry trends.
• Providing technical guidance and leadership.
• Collaborating with stakeholders to understand data needs and deliver solutions.
• Optimizing performance of data solutions and products.
• Training and mentoring teams on best practices in data engineering, ML, and AI.
• Assisting in defining and executing the organization's data strategy.
• Automating Azure deployments using PowerShell and Azure DevOps.
• Leading solution design efforts and performance improvements.
• Promoting best practices for Azure resource optimization.

Qualifications

• Experience with Big Data tools like Apache Spark, Hadoop, Delta Lake.
• Excellent communication skills for engaging technical and non-technical stakeholders.
• Preferred: Experience with other cloud platforms, advanced analytics, AI tools, data governance, DevOps, and relevant certifications.
• Experience in financial services or insurance is a plus.

Soft Skills

• Problem-solving mindset.
• Strong customer-facing skills.
• Ability to engage with senior leadership.
• Strategic thinking for scalable architectures.
• Ability to work independently and in teams.

Career Support

• Ongoing learning and development support, including courses and certifications.
• Opportunities for career progression in technical or leadership paths.