Azure Full-Stack Developer

Position Overview

Job Type: FTE. Location: Remote (can sit anywhere in the US). The Azure Full Stack Developer will lead the creation of high-value data driven solutions leveraging Cyclotron’s proven implementation methodology and solutions for enterprise projects, as well as contributing to technical pre-sales activities as required. You will be responsible for designing solution architecture, requirement definition, and leading the project delivery team. You will have the opportunity to work with and learn the latest cloud solutions in an exciting work environment while collaborating across all Cyclotron’s sales, service delivery and project management organizations in service to Cyclotron’s clients.

Responsibilities: Key Responsibilities

The ideal candidate will have extensive Microsoft/Azure data services and Databricks technology experience. Proficiency with the Databricks platform, implementing enterprise Data Lakehouse will be required. Candidates will be expected to contribute to all stages of the data lifecycle including data ingestion, data modeling, data profiling, data quality, data transformation, data movement, and data curation. Candidate should be familiar with the market challenges in multiple industry verticals and have experience with both traditional and modern approaches across the Microsoft technology stack.

• Strong collaboration skills, embraces change, works well with ambiguity, and shifts easily across roles and groups.
• Ability and willingness to take the initiative to serve the client needs first.
• Ability to engage directly with client stakeholders, managers, and end users.
• Ability to interface with clients from the C-suite to line workers.
• Ability to design and implement Advanced Analytics solutions based on customer needs and knowledge of Microsoft Cloud and related Open-Source technologies.
• Ability to triage and self-direct, prioritize, and manage time effectively.
• Ability to collaborate with other members of the Cyclotron team, including Project Managers, Software Engineers, and Business Analysts.

Qualifications: Required Qualifications

• Focus on Azure data engineering solutions
• 8+ years data engineering delivery experience
• 3+ years of Databricks engineering development experience
• 2+ years technical team leadership or technical management experience
• Current Azure and/or Databricks certification
• In-depth knowledge of Azure OpenAI
• Ability to interpret business requirements into functional and technical requirements
• Design, develop, and maintain data pipelines using Databricks and Microsoft Azure services
• Experience solutioning Azure Cloud based enterprise data architectures
• Experience with data pipeline automation
• Fundamental knowledge of Retrieval Augmented Generation (RAG)
• Data Modeling principles for relational and dimensional data structures
• Data Lake design principles and Data Virtualization
• Strong knowledge of data warehouse concepts and T-SQL relational/non-relational databases for data access and Advanced Analytics
• Experience with programming languages: Python, SQL, DAX, M
• Experience with reporting and data visualization tools, specifically PowerBI
• Practical knowledge of Microsoft SQL Server
• Experience in multidimensional and/or tabular models (SSAS)
• In-depth knowledge of Azure services (APIM, Load Balancer, Cognitive Search, Log Analytics)
• RDBMS: Azure SQL / SQL Server 2016+ (SQL, Structure, Stored Procs, Tuning)
• ETL/ELT using ADF or SSIS
• Data governance experience with tools like Purview or Unity Catalogue
• Experience with Analysis Services [Tabular]
• Databricks Delta Lake Storage expertise
• Familiarity with Azure Dev OPS

Preferred Qualifications

• Databricks, Delta Lake, Synapse
• Spark SQL, Pyspark
• Azure Data Explorer
• Logic Apps, Key Vault
• Experience with semi-structured data processing
• Integration Runtime
• Coding experience in Python, C#, or Java for data analysis purposes
• One of the following certifications: Microsoft Certified - Data Analyst Associate, MCSA - BI Reporting
• Knowledge of main components of Azure Analytics including DataFactory, Databricks, and Synapse

Benefits: Benefits & Perks

• Opportunity to work at the cutting edge of AI with a team of Microsoft technology specialists
• Engaged and visionary leadership
• Professional growth driven by complex, forward-looking, real-world challenges
• Competitive salary, benefits, and continuing education opportunities