This is a hybrid position open to any qualified applicant in the United States. **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. 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. **Role: Sr.** **Databricks Architect** **Location:** Charlotte, NC **Work Model:** Hybrid **Roles and responsibilities:** + Lead the design and implementation of data architectures using PySpark and Databricks Workflows + Oversee the development and deployment of scalable data pipelines + Provide technical guidance and mentorship to the project team + Ensure seamless integration of various AWS services, including AWS Data Lake + Collaborate with multi-functional teams to define project requirements and work you're doing + Monitor and optimize the performance of data workflows and pipelines + Apply standard methodologies for data security and compliance using AWS security services + Develop and maintain documentation for data architectures and workflows + Conduct code reviews and ensure alignment with coding standards + Fix and resolve technical issues related to data processing and integration + Drive continuous improvement initiatives to enhance data processing efficiency + Collaborate with collaborators to grasp business needs and transform them into technical solutions + Stay updated with the latest industry trends and technologies to ensure the company's data architecture remains brand new **Required Qualifications:** + Extensive experience with PySpark and Databricks Workflows + Good communication and collaboration abilities + Proven track record of leading and delivering complex data projects + Ability to mentor and guide team members effectively + Commitment to continuous learning and professional development. **Salary and Other Compensation** **:** Applications will be accepted until June 08, 2025 The annual salary for this position is between $ 81,848 - $ 156,500 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. Cognizant is an Equal Opportunity Employer M/F/D/V. Cognizant is committed to ensuring that all current and prospective associates are afforded equal opportunities and treatment and a work environment free of harassment. Cognizant is recognized as a Military Friendly Employer and is a coalition member of the Veteran Jobs Mission. Our Cognizant Veterans Network Assists Veterans in building and growing a career at Cognizant that allows them to demonstrate the leadership, loyalty, integrity, and commitment to excellence instilled in them through participation in military service. **\#LI-KV1 #CB #Ind123** Cognizant is an equal opportunity employer that embraces diversity, champions equity and values inclusion. We are dedicated to nurturing a community where everyone feels heard, accepted and welcome. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.