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Azure Data Architect

3 months ago

Allendale, United States TMS Full time
Job DescriptionJob Description

Role: Azure Data Architect

Location: Allendale, NJ (Hybrid) 3 Days Onsite

Duration: 6+ Months

Must have experience in Azure Databricks and ADF, Azure Synapse, PySpark, SQL

Experience: 12 to 15 Years , Minimum 5+ Years of experience in Azure Data Architect

Overall 15+ years in data analytics consulting and at least 10+ Senior Architect role within a consulting firm with a focus on data analytics, advanced analytics, Cloud

5-7+ years in designing, solutioning the Azure Databricks, PySpark, Data engineering, Data Integration, Data Orchestration and Data Marketplace.

7+ years' experience in designing Azure data warehouse and Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions and estimation on Azure Cloud.

Cloud Architect with experience in Azure ADF, ADLS Gen2, Databricks, Synapse, PySpark

Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions and estimation on AWS and Azure Cloud

Mandatory Experience in Azure Databricks and ADF, Azure Synapse and PySpark

Bachelor's or Master's degree in Computer Science, Data Science, Business Analytics, or a related field.

Hands on individual with ability to self-explore on market trends and provide POV on how it will have an impact on existing landscapes and suggest recommendations.

Experience in within a consulting firm or similar environment, with a focus on cloud data analytics in the medical device industry other regulated industry preferred.

Proficiency in data analytics tools and technologies, such as Python, R, SQL, and cloud platforms (e.g., AWS, Azure).

Deep technical understanding of major cloud tools like Azure, GCP, AWS, data analytics technologies, methodologies, and best practices.

Strong technical experience in major BI reporting tools like Power BI

Excellent communication, presentation, and interpersonal skills.

Proven track record of successfully leading and delivering data analytics projects from conception to completion for fortune clients

Relevant certifications in Azure, Databricks and Big Data are a plus.

Experience with integration of different data sources with Data Warehouse and Data Lake is required

Experience in creating Data warehouse, data lakes for Reporting, AI and Machine Learning

Understanding of data modelling and data architecture concepts

To be able to clearly articulate pros and cons of various technologies and platforms

Collaborate with clients to understand their business requirements and translate them into technical solutions that leverage AWS and Azure cloud platforms.

Define and implement cloud governance and best practices.

Identify and implement automation opportunities to increase operational efficiency.

Data Fabric, Mesh, Lakehouse data implementation experience

Conduct knowledge sharing and training sessions to educate clients and internal teams on cloud technologies.