Data Engineering Architect (Azure)

Job expired!

Company Description

Publicis Sapient is a digital transformation partner that aids established organizations to reach their future state of digital enablement, improving both their operational methods and customer service. We unlock value by implementing a start-up mindset and innovative techniques, merging strategy, customer experience, and problem-solving creativity with agile engineering methods. As digital pioneers staffed by 20,000 individuals across 53 global offices, our expertise spans from technology and data sciences to consultancy and customer obsession. Our relentless curiosity empowers us to accelerate our clients' businesses by designing valuable products and services for their customers. Publicis Sapient is the digital business transformation hub of Publicis Groupe. For more information, visit publicissapient.com.

Job Description

Publicis Sapient is seeking a Data Architect to join our vibrant team of forward-thinking innovators. Using your problem-solving creativity, you will design, structure, and build high-end technological solutions to address the most complex and challenging issues faced by our clients from a range of industries. We are striving to revolutionize the world, and your unique ideas and solutions will play a pivotal role in shaping our mission.

Your Daily Responsibilities:

  • Evaluating and recommending design patterns and solutions for data platforms with a concentration on ETL, ELT, ALT, lambda, and kappa architectures, in collaboration with our clients.
  • Defining SLAs, SLIs, and SLOs in partnership with clients, product owners, and engineers to deliver data-driven interactive experiences.
  • Offering expertise, proof-of-concept, prototype, and reference implementations of architectural solutions for cloud, on-premises, hybrid, and edge-based data platforms.
  • Contributing technical input to agile processes, such as defining epics, stories, and tasks to address issues and remove obstacles throughout client engagements.
  • Creating and maintaining infrastructure-as-code for cloud, on-premises, and hybrid environments utilizing tools such as Terraform, CloudFormation, Azure Resource Manager, Helm, and Google Cloud Deployment Manager.
  • Mentoring, supporting and managing team members.

Qualifications

Preferred Skills & Experience:

  • Demonstrable experience in enterprise level data platforms involving implementation of end-to-end data pipelines.
  • Practical experience with at least one of the leading public cloud data platforms (Amazon Web Services, Azure or Google Cloud).
  • Experience with column-oriented database technologies (e.g., Big Query, Redshift, Vertica), NoSQL database technologies (e.g., DynamoDB, BigTable, Cosmos DB, etc.) and traditional database systems (e.g., SQL Server, Oracle, MySQL).
  • Experience in building data pipelines and solutions for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Google Cloud DataFlow, Azure Data Factory, Spark, Spark Streaming, etc.
  • Metadata definition and management via data catalogs, service catalogs, and stewardship tools such as OpenMetadata, DataHub, Alation, AWS Glue Catalog, Google Data Catalog.
  • Test plan development 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, DBT, Python, and similar tools.
  • Proficiency in logical programming using Python, Spark, PySpark, Java, Javascript, and/or Scala.
  • Designing cloud-native data platforms with a focus on streaming and event-driven architectures.
  • Participation in integrated validation and analysis sessions of components and subsystems on production servers.
  • Designing and implementing data ingest, validation and enrichment pipelines.
  • Optimizing SDLC across workstreams within a solution.
  • A Bachelor’s degree in Computer Science, Engineering, or a related field.

Advantageous Attributes:

  • Azure cloud services certification.
  • Experience with code repositories and continuous integration.
  • Understanding of development and project methodologies.
  • Experience in setting up Monitoring, CI/CD, Optimization, Security, and Compliance.

Additional Information

Salary Range: $108,000 -$210,000

The range displayed represents a group of relevant scales currently in use at Publicis Sapient. The actual range for this role may differ, depending on location and specific skillset required for the position.

Benefits of Working Here:

  • Unlimited, non-structured vacation policy; time off is not limited, allocated, or accrued.
  • Seventeen paid holidays throughout the year.
  • Generous parental leave and transition support for new parents.
  • Tuition reimbursement.
  • Corporate gift matching program.

As part of our commitment to promoting an inclusive and diverse workforce, Publicis Sapient is dedicated to Equal Employment Opportunity irrespective of race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We also commit to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans during our job application procedures. For assistance or accommodation due to disability, please contact us at [email protected] or call us at +1-617-621-0200.