Hands-On Manager, Azure Data Engineering - Hybrid

Company Description

Publicis Sapient is seeking a hands-on Data Engineering Manager to join our team of sharp thinkers and implementers. You will collaborate with top-tier tech specialists to deliver concrete business results for our enterprise clients by translating their requirements into transformative solutions that offer valuable insights. By working with the industry's latest data technologies, you will play a pivotal role in assisting the world's most established brands transition towards a more digital future. **This role necessitates three days of on-site work in our Downtown Houston office.

Job Description

Your Impact: 

• Work closely with our clients, providing assessment and recommendations for design patterns and data platform solutions, focusing on batch, near real-time, structured, and unstructured data.
• Determine 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 for Azure Data Platform architectural solutions.
• Contribute technical inputs to agile processes, such as epic, story, and task definition, to resolve issues and mitigate obstacles throughout the life cycle of client engagements.
• Creation and maintenance of infrastructure-as-code and CI/CD for Azure environment using tools like Terraform and Ansible.
• Guide, support and manage team members.

Qualifications

Your Skills And Experience: 

• Demonstrable experience in enterprise-level data platforms involving the implementation of end-to-end data pipelines. 
• Hands-on experience with Azure.
• Experience with column-oriented database technologies (such as Synapse), NoSQL database technologies (like DynamoDB, Cosmos DB, etc), and traditional database systems (like SQL Server, Oracle, MySQL).
• Experience in designing data pipelines and solutions for both streaming and batch integrations using tools/frameworks such as Azure Data Factory, Azure functions and Stream analytics.
• Metadata definition and management using 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 focusing on streaming and event-driven architectures.
• Participate in integrated validation and analysis sessions of components and subsystems on production servers.
• Design and implementation of data ingestion, validation, and enrichment pipelines.
• Optimization of SDLC across workstreams within a solution.
• A Bachelor’s degree in Computer Science, Engineering, or a related field.

Additional Information

Set Yourself Apart With: 

• Certifications in Azure.
• Experience with handling code repositories and continuous integration.
• Understanding of development and project methodologies.

Pay Range: $123,000-$184,000.

The range specified represents a grouping of relevant ranges currently utilized at Publicis Sapient. The actual range for this position may vary, depending on location and specific skillset required for the work.

Benefits of working here:

• Flexible vacation policy; time off is not restricted, allocated, or accrued.
• 16 paid holidays annually.
• Generous parental leave and a new parent transition program.
• Tuition reimbursement.
• Corporate gift matching program.