Company Description

　　Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.

　　Job Description

　　Your Impact:

　　Work closely with our clients providing evaluation and recommendations of design patterns and solutions for data platforms with a focus on batch, near-real time, structured and unstructured data

　　Define SLAs, SLIs, and SLOs with inputs from clients, product owners, and engineers to deliver data-driven interactive experiences

　　Provide expertise, proof-of-concept, prototype, and reference implementations of architectural solutions for Azure Data Platform

　　Provide technical inputs to agile processes, such as epic, story, and task definition to resolve issues and remove barriers throughout the lifecycle of client engagements

　　Creation and maintenance of infrastructure-as-code and CI/CD for Azure environment using tools such as Terraform and Ansible

　　Mentor, support and manage team members

　　Qualifications

　　Your Skills And Experience:

　　Demonstrable experience in enterprise level data platforms involving implementation of end-to-end data pipelines

　　Hands-on experience with at Azure

　　Experience with column-oriented database technologies (e.g., Synapse), NoSQL database technologies (e.g., DynamoDB, Cosmos DB, etc.) and traditional database systems (e.g., SQL Server, Oracle, MySQL)

　　Experience in architecting data pipelines and solutions for both streaming and batch integrations using tools/frameworks like Azure Data Factory, Azure functions and Stream analytics

　　Metadata definition and management via data catalogs, service catalogs, and stewardship tools such as OpenMetadata, and Azure Purview

　　Test plan creation and test programming using automated testing frameworks, data validation and quality frameworks, and data lineage frameworks

　　Data modeling, querying, and optimization for relational, NoSQL, timeseries, graph databases, data warehouses and data lakes

　　Data processing programming using SQL, Python, and similar tools

　　Logical programming in Python, Spark, PySpark, Java, Javascript, and/or Scala

　　Cloud-native data platform design with a focus on streaming and event-driven architectures

　　Participate in integrated validation and analysis sessions of components and subsystems on production servers

　　Data ingest, validation, and enrichment pipeline design and implementation

　　SDLC optimization across workstreams within a solution

　　Bachelor’s degree in Computer Science, Engineering, or related field

　　Additional Information

　　Set Yourself Apart With:

　　Certifications in Azure

　　Experience working with code repositories and continuous integration

　　Understanding of development and project methodologies

　　Pay Range: $123,000-$184,000.

　　The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work itself.

　　Benefits of working here:

　　Flexible vacation policy; time is not limited, allocated, or accrued

　　16 paid holidays throughout the year

　　Generous parental leave and new parent transition program

　　Tuition reimbursement

　　Corporate gift matching program