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.
This role includes contributing to technical pre-sales activities as required.
Responsibilities include designing solution architecture, defining requirements, and leading the project delivery team.
The position offers the opportunity to work with and learn the latest cloud solutions in an exciting work environment.
Collaboration across all Cyclotron’s sales, service delivery, and project management organizations is essential to serve Cyclotron’s clients.
The ideal candidate will have extensive experience with Microsoft/Azure data services and Databricks technology.
Proficiency with the Databricks platform and implementing enterprise Data Lakehouse is required.
Candidates will contribute to all stages of the data lifecycle, including data ingestion, data modeling, data profiling, data quality, data transformation, data movement, and data curation.
Familiarity with market challenges in multiple industry verticals and experience with both traditional and modern Microsoft technology stacks is expected.
Strong collaboration skills, the ability to embrace change, and the capability to work well with ambiguity are essential.
The candidate must be able to engage directly with client stakeholders, managers, and end users, and interface with clients from the C-suite to line workers.
The role requires the ability to design and implement Advanced Analytics solutions based on customer needs and knowledge of Microsoft Cloud and related Open-Source technologies.
Candidates should be able to triage, self-direct, prioritize, and manage time effectively while collaborating with other team members.
Requirements:
A focus on Azure data engineering solutions is required.
Candidates must have 8+ years of data engineering delivery experience.
A minimum of 3+ years of Databricks engineering development experience is necessary.
Candidates should have at least 2+ years of technical team leadership or technical management experience.
Current Azure and/or Databricks certification is required.
In-depth knowledge of Azure OpenAI is essential.
Candidates must be able to interpret business requirements into functional and then technical requirements.
Experience in designing, developing, and maintaining data pipelines using Databricks and Microsoft Azure services is required.
Candidates should have experience solutioning Azure Cloud-based enterprise data architectures and data pipeline automation.
Fundamental knowledge of Retrieval Augmented Generation (RAG) is necessary.
Knowledge of data modeling principles for relational and dimensional data structures is required.
Candidates should understand 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 is essential.
Experience with programming languages such as Python, SQL, DAX, and M is required.
Familiarity with reporting and data visualization tools, specifically PowerBI, is necessary.
Practical knowledge of Microsoft SQL Server and experience in multidimensional and/or tabular models (SSAS) is required.
In-depth knowledge of Azure services (APIM, Load Balancer, Cognitive Search, Log Analytics) is essential.
Candidates should have experience with RDBMS: Azure SQL / SQL Server 2016+ (SQL, Structure, Stored Procs, Tuning).
Experience with ETL/ELT (ADF, SSIS) and data governance (Purview, Unity Catalogue) is required.
Knowledge of Analysis Services [Tabular] and Databricks Delta Lake Storage is necessary.
Familiarity with Azure DevOps is required.
Benefits:
The position offers the opportunity to work at the cutting edge of AI with a team of Microsoft technology specialists.
Engaged and visionary leadership is provided to support professional growth.
Employees will face complex, forward-looking, real-world challenges that drive professional development.
A competitive salary, benefits, and continuing education opportunities are offered to employees.