Data Consulting Principal
About The Role
The Enterprise Data & AI Architect is responsible for aligning data and AI technology strategy with business goals, designing and maintaining the organization’s data architecture, and ensuring that data solutions leverage advanced analytics and generative AI to meet current and future business needs. This role collaborates with stakeholders across business and IT to develop and implement enterprise-wide data Lakehouse standards, big data processes, real-time streaming architectures, master data management strategies, data governance, and AI/ML platforms.
In this role, you will:
- Develop and maintain the enterprise data Lakehouse architecture, frameworks, and guidelines.
- Collaborate with business and IT leaders to align data solutions with strategic objectives.
- Evaluate and recommend data technologies including Snowflake, AWS Redshift, AWS EMR, and Apache Spark.
- Lead the design and implementation of complex big data, real-time streaming, and master data management systems.
- Ensure architectural integrity and consistency across data and AI projects, leveraging formats like Apache Iceberg.
- Create and maintain comprehensive documentation for data architectures, governance processes, and standards.
- Assess and mitigate risks associated with data architectures, ensuring robust governance and data quality practices.
- Provide expertise and mentorship to data engineers, analysts, and technical teams in building solutions using AWS SageMaker, AWS Bedrock, and other generative AI platforms.
- Monitor industry trends and emerging technologies in data management, analytics, and AI to drive innovation.
- Create roadmaps and blueprints for supporting advanced analytics, AI/ML, and generative AI capabilities.
- Adhere strictly to established architecture governance models and data compliance standards.
- Review product standards, patterns, and build configurations ensuring security, scalability, and lifecycle sustainability.
- Maintain security awareness and adhere to regulatory compliance related to data management and AI usage.
- Define strategic goals for modernizing and rationalizing enterprise data platforms.
- Ensure solutions adhere to CFG well-architected principles and best practices in cloud data management.
What you need to have to be considered:
- 8+ years of experience in Data and AI architectures, with at least 3 years specifically in enterprise data architecture roles.
- Deep expertise in enterprise data Lakehouse architectures, data modeling, and big data technologies.
- Strong knowledge of data governance, master data management (MDM), and data quality principles.
- Experience with cloud platforms (AWS), specifically with AWS Redshift, AWS EMR, AWS SageMaker, AWS Bedrock, Apache Spark, and Snowflake.
- Demonstrated experience implementing real-time data streaming solutions using Kafka, Kinesis, or similar.
- Proficiency with data formats and table formats such as Apache Iceberg.
- Relevant certifications (e.g., TOGAF, AWS Certified Data Analytics – Specialty, AWS Solutions Architect).
These will help you stand out:
- Proven experience in large-scale data and digital transformation projects.
- Understanding of cybersecurity best practices within data and AI systems.
- Familiarity with Agile methodologies and DevOps practices.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Work Authorization:
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship (H-1B, L-1B, L-1A, etc.)
Salary and Other Compensation:
The annual salary for this position is between $122,400-$194,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program and stock awards, 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
コグニザントのコミュニティ
コグニザントは、クライアントのビジネス、運営、技術モデルをデジタル時代に合わせて変革する、世界有数のプロフェッショナルサービス企業の一つです。私たちの独自の業界ベースのコンサルティングアプローチは、クライアントがより革新的で効率的なビジネスを構想し、構築し、運営するのを支援します。米国に本社を置くコグニザント（NASDAQ-100のメンバーであり、Forbesの2024年世界最高の雇用者の一つ）は、常に世界で最も称賛される企業の一つに挙げられています。コグニザントがどのようにしてクライアントがデジタルでリードするのを支援しているかについては、www.cognizant.comをご覧ください。
- コグニザントは世界中に300,000+上の社員を擁するグローバルな会社会社です。
- 私たちはより良い方法を考えるだけでなく、それを実現していきます。
- 私たちは正しいことを行うことで、社員、顧客、会社、地域社会に貢献します。
- キャリアを築いていくことができる革新的な環境を育んでいきます。
コグニザントについて
コグニザント（Nasdaq-100: CTSH）は世界有数のプロフェッショナル・サービス企業であり、企業がテクノロジーの近代化、プロセスの再構築、エクスペリエンスの変革を実現し、変化の激しい世界で優位に立てるよう支援しています。
コグニザントは機会均等雇用を実践しています。応募および候補者としての選考は、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人としての地位、または連邦法、州法、もしくは地方自治体の法律で保護されているその他の特性に基づいて行われることはありません。
求人情報の検索や応募書類の提出に配慮を必要とする障害をお持ちの方は、[email protected] までご要望と連絡先をお知らせください。
免責事項
報酬情報は、この掲載日現在のものです。コグニザントは、適用される法律に従い、いつでもこの情報を修正する権利を有します。
応募者は面接に直接またはビデオ会議で出席する必要がある場合があります。また、各面接時に身分証明書の提示を求められる場合があります。