1 day ago
Base Salary
$170k - $200k/yr
Responsibilities
- Lead enterprise-scale Data, Analytics, AI, and Cloud transformation solution architecture and implementation.
- Define target-state architectures spanning ingestion, transformation, storage, governance, security, analytics, machine learning, and AI consumption.
- Design and oversee data warehouses, data lakes, lakehouses, data mesh platforms, data-as-a-product frameworks, and Generative AI data foundations.
- Lead modernization from legacy platforms including Hadoop, Teradata, and traditional enterprise data warehouses.
- Architect batch, micro-batch, real-time streaming, API-based integration, and change data capture pipelines.
- Design enterprise data governance capabilities covering metadata, lineage, quality, master data management, security, and governed self-service analytics.
- Lead technical pre-sales, proposals, architecture presentations, effort estimates, sizing models, statements of work, solution defense sessions, and executive workshops.
- Serve as a primary technical advisor to clients and collaborate with account teams on business development and growth opportunities.
- Mentor architects, engineers, and delivery teams while developing reusable frameworks, accelerators, standards, and architectural best practices.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related discipline, or equivalent work experience.
- 15–20 years of experience in Data Engineering, Analytics, Data Platforms, or Enterprise Data Architecture.
- At least 5 years of experience leading cloud-native data engineering and modernization programs.
- Strong experience leading enterprise Data and AI solution architecture and implementation.
- Proven experience with solution architecture, technical pre-sales, estimation and sizing, proposal development, and solution defense.
- Expertise in data warehouse architectures, data lakes, lakehouse platforms, data mesh architectures, data-as-a-product frameworks, agentic AI solutions, and Generative AI platforms.
- Deep expertise in ETL and data pipeline architecture, including batch processing, streaming pipelines, API integrations, and change data capture.
- Strong understanding of DevOps, DataOps, CI/CD, and platform automation.
- Expertise in Databricks or equivalent Google Cloud Platform expertise, including the applicable data platform, Spark, pipeline, security, performance, and optimization capabilities.
- Experience designing enterprise data governance capabilities and self-service data platforms.
- Excellent communication, consulting, presentation, and stakeholder management skills.
- Preferred qualifications include retail and consumer goods experience, large-scale digital transformation experience, agentic AI and enterprise AI architecture knowledge, self-service data engineering platform experience, cloud certifications, and familiarity with semantic data layers and modern BI platforms.
Benefits
- Hybrid full-time work model based in Dallas, Texas, or the New York metropolitan/New Jersey area.
- Approximately 30% travel is expected for client engagements, workshops, architecture reviews, business development activities, and delivery oversight.
- Medical, dental, and vision insurance, plus Health Savings Account and Flexible Spending Account options.
- Life insurance, AD&D coverage, and short-term and long-term disability insurance.
- Paid time off and company holidays.
- 401(k) plan with company contributions, subject to eligibility.
- Employee Stock Purchase Plan where available, employee assistance program, parental leave, and family care benefits.
- Tuition reimbursement, professional development, learning, certification, and career development opportunities.
Tech Stack
Categories
Solutions Engineering
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.