Job Summary
The Sr. Architect role focuses on designing and implementing robust data solutions that align with organizational goals. This position requires expertise in data governance security integration and visualization ensuring compliance and seamless data transformation processes. The role is hybrid with no travel required.
Responsibilities
- Develop and implement comprehensive data architecture strategies to support organizational objectives and ensure scalability and efficiency.
- Oversee the design and execution of data governance frameworks to ensure compliance with regulatory standards and organizational policies.
- Provide expertise in scripting languages for data transformation to optimize data workflows and enhance operational efficiency.
- Collaborate with cross-functional teams to integrate data sources and ensure seamless access across platforms.
- Design and implement secure data solutions to safeguard sensitive information and mitigate risks.
- Utilize advanced data visualization techniques to present actionable insights to stakeholders and drive informed decision-making.
- Apply design patterns to create robust and reusable data models that enhance system performance and reliability.
- Lead efforts to identify and resolve data-related challenges ensuring the integrity and accuracy of organizational data.
- Conduct regular assessments of data security measures and recommend improvements to address emerging threats.
- Partner with business units to understand their data needs and translate them into technical solutions that align with organizational goals.
- Provide guidance and mentorship to junior team members fostering a culture of continuous learning and innovation.
- Stay updated on industry trends and emerging technologies to ensure the organization remains at the forefront of data architecture practices.
- Document and communicate architectural decisions and best practices to stakeholders for alignment and transparency.
Qualifications
- Demonstrate expertise in data governance and compliance ensuring adherence to regulatory requirements and organizational standards.
- Possess advanced skills in data transformation scripting languages to streamline data processing and integration.
- Showcase proficiency in data architecture principles to design scalable and efficient systems.
- Exhibit strong data visualization skills to translate complex data into actionable insights for stakeholders.
- Have a deep understanding of data security measures to protect sensitive information and mitigate risks.
- Display knowledge of data integration and access techniques to ensure seamless connectivity across platforms.
Certifications Required
Certified Data Management Professional (CDMP) AWS Certified Data Analytics Specialty
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation 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.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. 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 characteristic protected by federal, state or local laws.
