Azure Data Architect

Job :

Job Description:
12 Month Contract
No c2C or 1099 is allowed
Must be able to work without sponsorship for the duration of the contract.
On-site 3 days per week in Austin, TX
We are looking for a hands-on Azure Data Architect who is experienced with Azure data services, Databricks, and has worked with a data scientist team . This is a hybrid role that requires the ability to work with data engineering / Data science projects. The ideal applicant will have demonstrated experience creating and deploying data solutions on Azure data services and Databricks , as well as a good understanding of data architecture principles.
Responsibilities:
- Design and implement data solutions in Azure, using services such as Microsoft Fabric, Synapse Analytics, Databricks, Databricks MLflow, Azure Event Hub, Azure SQL, Azure Blob Storage, ADLS Gen2, Log Analytics, Purview, Azure Functions, Azure Key Vault.
- Use Snowflake cloud technology, Power Automate and other AI/ML services to develop and implement data solutions.
- Lead data engineering efforts, including designing, and implementing data pipelines and data transformations.
- Work with stakeholders to understand data requirements and implement solutions to meet those needs.
- Ensure data solutions are scalable, reliable, and secure.
- Work with other team members to integrate data solutions into existing systems and processes.

Requirements
•  Overall 10+ years of IT experience and minimum 5 years of experience as an Architect on Data & Analytics solutions.
•  Minimum 3+ years of experience working in the Azure public cloud platform.
•  Proven experience as a Data Architect or similar role in enterprise level data-centric projects.
•  Experience with Azure data services, including Azure Key Vault, Azure Blob Storage, ADLS Gen2, Synapse Pipeline - Serverless SQL pools, Log Analytics, Purview, Azure Functions, and Azure Search.
•  Experience with SharePoint Syntex / AI Builder, Snowflake, MLFlow, Forms Recognizer, Power Automate, Databricks, Azure SQL, Cognitive Services, and Azure ML.
•  Strong understanding of data architecture principles.
•  Excellent communication and leadership skills.
•  Ability to work in a cross functional enterprise level team and coordinate with other professionals in Infra/Ops and Information Security departments. We are looking for a hands-on Azure Data Architect who is experienced with Azure data services, Databricks, and has worked with a data scientist team . This is a hybrid role that requires the ability to work with data engineering / Data science projects. The ideal applicant will have demonstrated experience creating and deploying data solutions on Azure data services and Databricks , as well as a good understanding of data architecture principles.
Responsibilities:
- Design and implement data solutions in Azure, using services such as Microsoft Fabric, Synapse Analytics, Databricks, Databricks MLflow, Azure Event Hub, Azure SQL, Azure Blob Storage, ADLS Gen2, Log Analytics, Purview, Azure Functions, Azure Key Vault.
- Use Snowflake cloud technology, Power Automate and other AI/ML services to develop and implement data solutions.
- Lead data engineering efforts, including designing, and implementing data pipelines and data transformations.
- Work with stakeholders to understand data requirements and implement solutions to meet those needs.
- Ensure data solutions are scalable, reliable, and secure.
- Work with other team members to integrate data solutions into existing systems and processes.

Requirements
•  Overall 10+ years of IT experience and minimum 5 years of experience as an Architect on Data & Analytics solutions.
•  Minimum 3+ years of experience working in the Azure public cloud platform.
•  Proven experience as a Data Architect or similar role in enterprise level data-centric projects.
•  Experience with Azure data services, including Azure Key Vault, Azure Blob Storage, ADLS Gen2, Synapse Pipeline - Serverless SQL pools, Log Analytics, Purview, Azure Functions, and Azure Search.
•  Experience with SharePoint Syntex / AI Builder, Snowflake, MLFlow, Forms Recognizer, Power Automate, Databricks, Azure SQL, Cognitive Services, and Azure ML.
•  Strong understanding of data architecture principles.
•  Excellent communication and leadership skills.
•  Ability to work in a cross functional enterprise level team and coordinate with other professionals in Infra/Ops and Information Security departments.

EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.