Azure Sr. Data Engineer

Location:Anywhere in US (Fully Remote)

Employment Type:FTE

Level:Experienced/Sr. Level

GENERAL DESCRIPTION & RESPONSIBILITIES

Asa Sr. Data Engineering Consultant, you will architect, build, andoptimizescalable data pipelines, data lakes, warehouses, and analytics platforms in the Microsoft ecosystem. Collaborate directly with clients to drive successful data modernization and advanced analytics projects while mentoring teams and sharing best practices.

Key Responsibilities:

• Architect, develop, and deploy robust, scalable data solutions using Azure Synapse, Databricks, Fabric, Data Factory, and related tools.

• Design andoptimizeETL/ELT data pipelines with Python,PySpark, and SQL for structured and unstructured data.

• Build modern data architectures: data lakes, warehouses,lakehouses, and streaming platforms.

• Implement and automate data ingestion, transformation, modeling, and validation within Azure and Databricks.

• Lead end-to-end Power BI or Fabric analytics solutions, including semantic modeling, DAX, and data visualization.

• Adviceon data modernization, governance (Purview, Entra ID), and security best practices aligned with Microsoft frameworks.

• Partner with clients and project teams, translate business requirements into actionable architectures, and communicate technical plans to stakeholders.

• Mentor peers and guide teams on best practices, technical standards, and continuous learning in the Microsoft/Databricks ecosystem.

• Authorhigh-quality project, design, and technical documentation as well as support pre-sales and business development activities as needed.

PLACEMENT CRITERIA & REQUIREMENTS

• Bachelorsin Computer Science, Engineering, or related discipline (Masterspreferred).

• 5+ years of hands-on experience designing, building, and deploying data solutions in Microsoft Azure and Databricks.

• Strongexpertisein Python, SQL,PySpark, and modern ETL data engineering practices.

• Advanced knowledge of Databricks, Azure Data Factory, Azure Synapse, Fabric, Azure SQL/Dataverse, and Power BI.

• Experience with data modeling, pipeline optimization, performance tuning, and cloud-based storage (OneLake, Data Lake,CosmosDB).

• Deep understanding of data governance, security, and compliance frameworks within Microsoft cloud.

• Excellent communication, project leadership, and stakeholder management skills.

DESIRED SKILLS

• Bachelorsin Computer Science, Engineering, or related discipline (Masterspreferred).

• 5+ years of hands-on experience designing, building, and deploying data solutions in Microsoft Azure.

• Strongexpertisein Python, SQL,PySpark, and modern ETL data engineering practices.

• Advanced knowledgeof AzureData Factory, Azure Synapse, Fabric, Azure SQL/Dataverse, and Power BI.

• Experience with data modeling, pipeline optimization, performance tuning, and cloud-based storage (OneLake, Data Lake,CosmosDB).

• Deep understanding of data governance, security, and compliance frameworks within Microsoft cloud.

• Excellent communication, project leadership, and stakeholder management skills.

NON-TECHNICAL SKILLS

Communication

• Clear and effective verbal and written communication for both technical and non-technical audiences

• Confident presentation skills, including the ability to explain complex concepts to senior clients.

Teamwork & Leadership

• Ability to mentor, coach, and lead cross-functional teams in collaborative environments

• Ability to foster a problem-solving culture and contribute meaningfully to teamobjectives.

Client Engagement

• Strong senseof responsibility, accountability, and trust-building with client stakeholders.

• Ability to manage client expectationsregardingscope, timeline, and cost.

Adaptability & Learning

• Growth mindset and willingness to continuously improve skills and adoptnew technologies.

• Comfort in fast-paced consulting environments andabilityto quickly learn new tools and concepts.

Organization & Initiative

• Results-oriented approach with a reputation for getting things done.

• Strong organizational skills, ability to independently drive projects, and proactive identification and mitigation of risks.

CYCLOTRONEXPECTATIONS

These are the traits that we hold in the same regard for all employees, also viewed as performance indicators.Each employee should uphold these attributes.

• Communication and Interpersonal Skillsverbal and written,professional,concise,and effective.

• Collaboration and Teamwork- share knowledge, build alliances,show respect.

• Personal Ownership and Responsibilitytakeinitiative,solve problems,befullypresent.

• Customer FocusProactivemanagementor Client expectations and needs.

• Time Management and Productivity Set Goals, Commit, Record, Communicate

Cyclotron isan equal opportunity employer; we encourage diversity and promote an inclusive environment where everyone feels respected and valued. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, gender expression, age, marital status, religion, national origin, veteran, or disability status. We would love to learn about what you can add to our diverse team.

Cyclotron is an Equal Opportunity Employer. Cyclotron values diversity, equity and inclusion, and aims to practice DE&I in all that we do.