Utilize Azure DevOps (ADO) for CI/CD pipeline integration, enabling seamless deployment and management of data solutions. Azure certifications (e.g., Azure Solutions Architect, Azure Data Engineer) are highly desirable.

The Cloud Solution Architect will work closely with the Program Manager, and Data Architect, to support multiple public health project teams in their full data management cycle including data ingestion, data cleansing, data transformation, data security, data exploration, and data visualization using Microsoft Azure tools and technologies.

Should have in depth understanding on Data Warehousing, Master Data Management (MDM), Data Quality, Data Lineage, Data Modeling, Data Profiling and Data Policy and handled Data Governance programs.

Data Management and Quality: data mapping, data profiling, data catalog, relational data modeling, master data management, data governance, metadata management (ex.

Master Data Management, Data Quality, Data Lake and Analytical platforms; experience with technologies like Azure Cloud ecosystem, Databricks, Informatica MDM, Informatica IDQ.

The Data Platform Architect will be responsible for developing robust data architecture, overseeing database management and optimization, and ensuring the security, reliability, and performance of our data solutions.

Work with the Database Architect to define data management, data governance, and data quality assurance requirements to manage the entire data processing life cycle.

Campbell Soup is seeking a Solution Architect V with extensive experience in solution architecture and a strong background in data engineering and development utilizing Azure cloud technologies.

We have an opportunity for Data Architect with Databricks Architect with one of our clients for NYC, NY. Should have Strong experience in architecture and implementing End to End Modern Data Solutions using Azure and advance data processing frameworks like Databricks etc.

Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.

In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.

Develop and maintain best practices, standards, and guidelines for data management, data governance, and data security in alignment with regulatory requirements and industry standards.

Architect and build scalable and secure data pipelines, data lakes, and data warehouses to support the storage, processing, and analysis of large volumes of structured and unstructured data.

Define and implement best practices for data quality, data governance, and data security within Azure Databricks architecture. As a Principal Data Architect, you are responsible for establishing a strategic technology direction, architecture, and a scalable data solution using Azure Databricks.

The Senior Data Architect with Snowflake experience is a specialized role responsible for designing and implementing data solutions on Azure cloud platform, particularly leveraging Snowflake and DBT Labs. This role involves collaborating with clients and internal teams to architect, deploy, and optimize data solutions that meet business requirements while ensuring scalability, security, and performance.