Staff Engineer, Big Data

Nagarro · Remote · US only

US onlySeniorPublished 30 August 2023Ghost risk: high

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First recorded by Psst: 2 November 2026. Sign in with Google to continue to the employer. A free account is enough.

The 20-second read

Experience
Senior
Where you can live
US only
Skills and tools
sql, azure, compliance, troubleshooting
Degree or licence
Mentioned (bachelor's)
Job type
Full-time

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Job details

Where you can work
United States
Employment type
Full-time
Advertised pay
Not stated by the employer
Experience
Senior
Employer publication date
30 August 2023
First recorded by Psst
2 November 2026
Last checked at the source
3 November 2026

About the job

Experience level: not applicable.

Must have Skills : Apache Spark, Azure Data Factory, Databricks,

Job Description : Lead Consultant - Azure Data Platform Engineering & Ops

You will be responsible for architecting, implementing, and managing robust data solutions on the Microsoft Azure platform.

Responsibilities

  • Technical Leadership: Lead and mentor a team of data engineers and operations specialists, providing technical guidance, fostering skill development, and promoting a culture of excellence.
  • Azure Data Architecture: Collaborate with stakeholders to design scalable and efficient data architectures using Azure services such as Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Cosmos DB.
  • Data Engineering: Oversee the development of data pipelines, ETL/ELT processes, and data integrations, ensuring data quality, optimal performance, and adherence to best practices.
  • Platform Operations: Manage the day-to-day operation and maintenance of the Azure Data Platform, including monitoring, troubleshooting, and performance optimization.
  • Automation and DevOps: Implement automation strategies and DevOps practices to streamline deployment, monitoring, and management of data solutions, ensuring efficient operations and rapid response to issues.
  • Data Security and Compliance, Capacity Planning and Scalability, Collaboration and Communication, Performance Monitoring and Optimization

Qualifications

  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • Extensive experience in data engineering, data architecture, and cloud platform operations, with a focus on the Microsoft Azure ecosystem.
  • In-depth knowledge of Azure services such as Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Cosmos DB.
  • Proficiency in designing and optimizing data pipelines, ETL/ELT processes, and data integrations.
  • Strong understanding of data governance, security best practices, and compliance standards in a cloud environment.
  • Hands-on experience with automation, infrastructure as code (IaC), and DevOps principles.
  • Excellent leadership and team management skills, with a proven ability to guide and inspire technical teams.
  • Azure certifications such as Microsoft Certified: Azure Solutions Architect Expert or equivalent are highly desirable.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

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Ghost Job Detector: Ghost risk: high
  • Open over a year (1161 days)
  • Reposted
  • No pay listed
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