Hello,
My name is Pradeep Bhondve, and I work as a Technical Recruiter for K-Tek Resourcing.
We are searching for Professionals below business requirements for one of our clients. Please read through the requirements and connect with us in case it suits your profile.
We are searching for Professionals below business requirements for one of our clients. Please read through the requirements and connect with us in case it suits your profile.
Please see the Job Description and if you feel Interested then send me your updated resume at Pradeep.bhondve@ktekresourcing.com or give me a call at 832 .632.9328.
Linkedin Profile: https://www.linkedin.com/in/pradeep-bhondve-aba57b166/
Job Title: Azure Data Architect
Location: New York (Hybrid – 3 days onsite)
Duration: Long Term
Note:
- Need Only Locals to New york or New jersey
- 2+ Years of experience in Azure Fabrics is must
Job Opening:
Annaly Capital is looking for a skilled Data Architect with extensive Azure experience, including Azure Service Fabric, to lead data architecture strategies and implementation.
Key Responsibilities:
- Design and develop enterprise data architecture strategies aligned with business objectives.
- Implement Azure-based data solutions using Azure Service Fabric, Azure Data Factory, and Azure SQL Database.
- Optimize data storage, integration, and processing workflows.
- Develop scalable and secure data pipelines and data lakes.
- Ensure data governance, security, and compliance best practices.
- Collaborate with stakeholders to define data models and ETL processes.
- Provide technical leadership and mentoring to data engineering teams.
Required Skills & Qualifications:
- 8+ years of experience in Data Architecture.
- 5+ years of hands-on Azure experience, including Azure Service Fabric.
- Expertise in Azure Data Factory, Azure SQL, and Synapse Analytics.
- Strong knowledge of ETL pipelines, data modeling, and cloud storage solutions.
- Experience with Big Data technologies and distributed computing.
- Familiarity with Python, SQL, and Power BI for data visualization.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
