Cognizant
Azure Data Architect/Lead (Onsite)
Cognizant, Washington, District of Columbia, us, 20022
About Cognizant’s AI Practice
Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. However, clients need new business models built from analyzing customers and business operations at every angle to really understand them.With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate, and scale the most desirable products and delivery models to enterprise scale within weeks.We are Cognizant
You must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.Job Summary:
Seeking an authority Architect with proven ability in Azure Data Lake, Databricks, and Azure Data Factory with 10+ years of experience. Nice to have skills include Python, Azure Event Hub, and Azure DevOps. Must have domain expertise in Investment Banking & Brokerage and Investment Banking Operations.Key Responsibilities
Craft and implement scalable and secure solutions using Azure Data Lake, Databricks, and Azure Data Factory.Collaborate with multi-functional teams to assemble requirements, provide technical mentorship, and ensure successful project delivery.Contribute to the development of standard processes and mentor junior team members.Demonstrate development experience in building sophisticated data pipelines for lake house data warehouses.Utilize Agile methodology, ADF, Databricks, Azure Cloud Services, MS SQL Server, Python, Pyspark, and DevOps.Have a detailed understanding of Data Lakes, raw, enriched, curated layer concepts, and ETL within the Azure framework.Be highly skilled in end-to-end Data warehousing and BI analytics design development.Build and design functional technical specification documentation or any artifacts needed.Qualifications:
Expertise in Azure Data Lake, Databricks, and Azure Data Factory.Proficient in Python, Azure Event Hub, and Azure DevOps.Strong proven experience in Investment Banking & Brokerage and Investment Banking Operations.Experience with Agile methodology and building sophisticated data pipelines for lake house/data warehouses.Familiarity with PySpark, Azure Key Vault, Azure Monitor, Kafka, Structured Streaming, and other related technologies.Salary and Other Compensation:
Applications will be accepted until 12/15/2024. The annual salary for this position is between $120,000-$130,000 depending on the experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.Benefits:
Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:Medical/Dental/Vision/Life InsurancePaid holidays plus Paid Time OffLong-term/Short-term DisabilityPaid Parental LeaveEmployee Stock Purchase PlanDisclaimer:
The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
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Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. However, clients need new business models built from analyzing customers and business operations at every angle to really understand them.With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate, and scale the most desirable products and delivery models to enterprise scale within weeks.We are Cognizant
You must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.Job Summary:
Seeking an authority Architect with proven ability in Azure Data Lake, Databricks, and Azure Data Factory with 10+ years of experience. Nice to have skills include Python, Azure Event Hub, and Azure DevOps. Must have domain expertise in Investment Banking & Brokerage and Investment Banking Operations.Key Responsibilities
Craft and implement scalable and secure solutions using Azure Data Lake, Databricks, and Azure Data Factory.Collaborate with multi-functional teams to assemble requirements, provide technical mentorship, and ensure successful project delivery.Contribute to the development of standard processes and mentor junior team members.Demonstrate development experience in building sophisticated data pipelines for lake house data warehouses.Utilize Agile methodology, ADF, Databricks, Azure Cloud Services, MS SQL Server, Python, Pyspark, and DevOps.Have a detailed understanding of Data Lakes, raw, enriched, curated layer concepts, and ETL within the Azure framework.Be highly skilled in end-to-end Data warehousing and BI analytics design development.Build and design functional technical specification documentation or any artifacts needed.Qualifications:
Expertise in Azure Data Lake, Databricks, and Azure Data Factory.Proficient in Python, Azure Event Hub, and Azure DevOps.Strong proven experience in Investment Banking & Brokerage and Investment Banking Operations.Experience with Agile methodology and building sophisticated data pipelines for lake house/data warehouses.Familiarity with PySpark, Azure Key Vault, Azure Monitor, Kafka, Structured Streaming, and other related technologies.Salary and Other Compensation:
Applications will be accepted until 12/15/2024. The annual salary for this position is between $120,000-$130,000 depending on the experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.Benefits:
Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:Medical/Dental/Vision/Life InsurancePaid holidays plus Paid Time OffLong-term/Short-term DisabilityPaid Parental LeaveEmployee Stock Purchase PlanDisclaimer:
The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
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