Job Description

Azure Databricks Architect (Remote) at Cognizant summary:

The Azure Databricks Architect at Cognizant Artificial Intelligence is a senior role requiring over 15 years of experience in data engineering and cloud platform management. The Architect will design and implement scalable data solutions using Azure technologies while mentoring junior team members and ensuring data integrity and security. The position demands collaboration with multi-functional teams to meet business needs and drive innovation in data management practices, all in a remote setting.

We are Cognizant Artificial Intelligence

Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. But 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.

* You must be legally authorized to work in United States without the need of employer sponsorship, now or at any time in the future *

This is a remote position open to any qualified applicant in the United States

Job Title: Azure Data Architect (Remote)

Job summary:

We are seeking a highly qualified Sr. Architect with 15 to 19 years of experience to join our team. The ideal candidate will possess deep technical skills in Azure Synapse SQL Pool Azure Synapse Spark Pool SQL and PySpark. Experience in SC Intelligence and Planning within the Consumer Goods domain is a plus. This hybrid role requires a candidate who can work optimally in a day shift without the need for travel.

Roles/Responsibilities

• Own the design and implementation of scalable data solutions using Azure Synapse SQL Pool and Azure Synapse Spark Pool.
• Supervise the development and optimization of SQL queries to ensure high performance and reliability.
• Guide in PySpark to develop and maintain data processing pipelines.
• Collaborate with multi-functional teams to understand business requirements and translate them into technical solutions.
• Ensure data integrity and security by implementing best practices and standards.
• Monitor and fix data systems to identify and resolve issues promptly.
• Develop and maintain documentation for data architecture processes and workflows.
• Mentor and guide junior team members to improve their technical skills and knowledge.
• Stay updated with the latest industry trends and technologies to continuously improve data solutions.
• Participate in code reviews to ensure code quality and alignment to standards.
• Work closely with collaborators to deliver high-quality data solutions that meet business needs.
• Contribute to the overall data strategy and roadmap of the company.
• Drive innovation and efficiency in data management practices.

Qualifications

• 12+ years of experience in data engineering and cloud platform management
• Solid grasp of Databricks, Python/Pyspark, Azure Synapse Analytics, Azure Data Factory, Databricks Notebooks, Delta Lake and Azure services (e.g., Azure Data Lake, Azure Blob Storage, Azure SQL Database).
• Expertise in developing ETL pipelines and optimizing workflows using Databricks
• Sophisticated skills in programming languages such as Python or SQL.
• Hands-on experience with distributed systems and data orchestration tools
• In-depth knowledge of cloud architecture, including data storage, security, and scalability.
• Ability to troubleshoot sophisticated data migration challenges and performance bottlenecks
• Experience with CI/CD pipelines, version control, and automation.
• Strong leadership and interpersonal skills, with the ability to handle multi-functional teams and communicate technical concepts to non-technical collaborators.

Salary and Other Compensation :

Applications will be accepted until January 17, 2025.

The annual salary for this position is between $100,000 – $160,000 depending on 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 Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer: 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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We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Keywords:

Azure, Databricks, Data Architecture, Cloud Computing, Data Engineering, ETL Pipelines, Artificial Intelligence, Data Solutions, SQL, PySpark

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