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Added 26 mins ago
Principal Engineer II - Data Engineering
Toyota
Plano, TX
Define and advance the technical vision for large-scale supply chain data platforms built on AWS, Databricks, and Azure, ensuring alignment with business priorities, enterprise…
Added 2 hours ago
AC
Java Developer
AMERICAN CYBERSYSTEMS INC.
Jersey City, NJ
- $70 to $73 USD / hour
Required Qualifications: 10+ years of experience in data platform architecture, data engineering, or distributed systems. Demonstrated experience leading enterprise-scale cloud migration…
Added 2 hours ago
Databricks Specialist
ManpowerGroup
Washington, DC
Our client, Federal programs is seeking a Databricks Specialist to join their team. As a Databricks Specialist, you will be part of the Federal Data Engineering team supporting data…
Added 7 hours ago
Senior Manager Data Engineer (Databricks, Pyspark, Snowflake)
Capital One
Chicago, IL
Architect and enforce common data engineering design patterns to ensure code quality, maintainability, and reusability across data platforms and pipelines
Added 7 hours ago
Director, Enterprise Data Engineering & Analytics
Marsh McLennan Inc.
NEW YORK, NY
Added 13 hours ago
Data Engineering Technical Leader - CX AI
Cisco Systems, Inc.
San Jose, CA
Pipeline & Lakehouse Engineering: Design robust batch and streaming ETL/ELT pipelines, implementing event-driven data flows, Change Data Capture (CDC), and modern lakehouse architectures…
Added 18 hours ago
Principal Scientist, Translational AI Foundations
Cambridge Discovery Hub
Cambridge Crossing, MA
Established enterprise data platforms to connect to, not to rebuild. Governed data products on Databricks, the biomarker data stores behind our early-phase clinical studies (RNA-seq, ctDNA,…
Added 19 hours ago
Databricks Specialist
Experis USA
Washington, DC
Our client, Federal programs is seeking a Databricks Specialist to join their team. As a Databricks Specialist, you will be part of the Federal Data Engineering team supporting data…
Added 21 hours ago
Sr. AWS Cloud Architect
Peraton
Remote, United States
Peraton is seeking a Sr. AWS Cloud Architect to design, lead, and govern enterprise cloud architecture supporting mission-critical federal programs. This role defines the target-state cloud…
Added 21 hours ago
Databricks Architect
Bright Vision Technologies
Short Hills, NJ
We are seeking an experienced, hands-on Databricks Architect to lead enterprise data integration, data warehousing, and analytics delivery. The role will serve as the primary bridge among…
Added 23 hours ago
Platform Engineer II
Amerisure Mutual Insurance Company
Farmington Hills, MI
Develop and maintain scalable, high-performance data platform infrastructure using technologies such as Databricks and AWS RDS.
Added 1 day ago
ST
Senior Data Platform Architect (Snowflake, Databricks, Open Platforms & Data Virtualization), VP I - State Street Investment Management
SSGA Trust Company
Boston, MA
- $120,000 to $202,500 USD / year
The Senior Data Platform Architect is responsible for the end‑to‑end architecture, security design, and governance of SSIM's enterprise data platform spanning Snowflake, Databricks, open…
Added 1 day ago
Consumer & Community Banking - Treasury Data Architect Vice President
JPMC page
Columbus, OH · OH
As a Data Domain Architect Lead in Core Treasury, you will have the unique opportunity to work across the organization, collaborating with key stakeholders in Treasury, Technology and…
Added 1 day ago
T
Databricks Solutions Architect
TEKsystems
Dallas, TX
- $125,000 to $190,000 USD / year
Consultative and personable data engineering leader who will provide advice and leading expertise on Databricks and have a deep understanding of cloud data services to become a key…
Added 1 day ago
Principal Engineer II - Data Engineering
TMS Toyota Motor Sales, USA, Inc. Company
Plano, TX
Define and advance the technical vision for large-scale supply chain data platforms built on AWS, Databricks, and Azure, ensuring alignment with business priorities, enterprise…
Added 1 day ago
Senior Data Architect
Datavail Corporation
Remote, United States
Datavail is hiring a Senior Data Architect to lead the design and delivery of modern data platforms for our clients
Added 1 day ago
S
Principal Data Architect & Technical Product Owner
SteerBridge
Vienna, VA · Washington, DC
- $170,000 to $190,000 USD / year
SteerBridge is seeking a senior technical leader to own enterprise data architecture and serve as the Technical Product Owner for the Modern Disability Claims (MDC) data pipeline. This…
Added 1 day ago
Databricks GTM Lead
Capgemini
New York, NY, NY
…domain-centric, market-ready offerings (e.g., Oracle or MongoDB-to-Databricks migration blueprints for core banking, Salesforce Data Cloud integration frameworks on AWS/GCP, or AI-driven…
Added 1 day ago
GCP GTM Leader
Capgemini
New York, NY, NY
…domain-centric, market-ready offerings (e.g., Oracle or MongoDB-to-Databricks migration blueprints for core banking, Salesforce Data Cloud integration frameworks on AWS/GCP, or AI-driven…
Added 1 day ago
Senior Solutions Architect
Fivetran
Remote, United States
SQL, dbt, cloud data warehouses and lakehouses including Snowflake, Databricks, and BigQuery, AWS, Azure, and GCP, modern data integration and orchestration technologies, and AI-assisted…
Added 1 day ago
BV
Big Data Architect
Bright Vision Technologies
Remote, United States
- $100,000 to $150,000 USD / year
We are seeking an experienced Big Data Architect to design and lead enterprise-scale data platforms. The ideal candidate will have expertise in Snowflake, Databricks, BigQuery, Redshift,…
Added 1 day ago
Product Architect – Senior Manager
PwC
New York, NY
As a Product Architect Senior Manager you will be a hands-on, full stack technology leader to serve as the onshore engineering counterpart to our Product Manager, helping drive the…
Added 1 day ago
Consumer Data Architect
Lilly
Indianapolis, IN
Room to grow: The role is built to expand from domain architect for consumer data into a lead architect seat as Lilly Direct scales internationally.
Added 1 day ago
Sr Architect I
Staples Canada
Framingham, MA
Working knowledge of customer data platforms, relational and NoSQL data stores, data streaming, and unified platforms for data, analytics, and AI (Databricks).
Added 1 day ago
Product Architect – Senior Manager
PricewaterhouseCoopers Advisory Services LLC
NY · Washington, DC · Cleveland, OH · Dallas, TX · Philadelphia, PA · Portland, OR · Houston, TX
As a Product Architect Senior Manager you will be a hands-on, full stack technology leader to serve as the onshore engineering counterpart to our Product Manager, helping drive the…

Cognizant

MLOps Architect

Boston, MA, United States

$155,000 to $170,000 USD / year

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Job details

Pay: $155,000 to $170,000 USD / year
Posting language: English
Posted: Oct 27, 2026

Original job description

Role Overview

Cognizant is seeking an experienced MLOps Architect (Snowflake) to design, build, and operationalize enterprise machine learning platforms utilizing Snowflake's native AI and ML capabilities.

In this strategic and hands-on role, you will own the end-to-end machine learning lifecycle across Snowflake, from feature engineering and model development through deployment, monitoring, governance, and optimization. You will collaborate with Data Scientists, Data Engineers, Platform Teams, Security Organizations, and Business Stakeholders to deliver scalable, secure, and production-ready AI solutions.

The ideal candidate brings deep expertise in Snowflake ML technologies, MLOps architecture, AI platform engineering, and cloud-native modernization.

Work Model

This position follows a hybrid work model based in Boston, Massachusetts . Team members are expected to work onsite and remotely based on business and client requirements.

Occasional travel may be required for stakeholder meetings, architecture reviews, planning workshops, and strategic transformation initiatives.

Key Responsibilities

Architecture & Platform Design

Design and implement end-to-end MLOps architectures leveraging:
Snowpark
Snowflake ML
Snowflake Model Registry
Snowflake Feature Store
Snowflake Container Runtime
Snowpark Container Services (SPCS)
Define scalable reference architectures supporting:
Batch Inference
Real-Time Inference
Near Real-Time Inference
Establish best practices for compute optimization, warehouse sizing, GPU resource allocation, and cost management.
Design enterprise patterns utilizing:
Cortex AI Functions
Cortex Agents
Cortex Search
Cortex Analyst

ML Lifecycle Management & Automation

Build and optimize CI/CD/CT pipelines supporting model development, validation, deployment, and governance.
Implement automated ML workflows using:
GitHub Actions
Azure DevOps
GitLab
Jenkins
Snowflake CLI
Git Integration
Establish standards for:
Experiment Tracking
Model Versioning
Promotion Workflows
Release Governance
Design and implement orchestration solutions utilizing:
Snowflake Tasks
Task Graphs
Dynamic Tables
Streams
dbt
Apache Airflow
Standardize Feature Store architecture including:
Feature Views
Entities
Training Datasets
Online Features
Point-in-Time Data Consistency

Model Deployment & Monitoring

Deploy machine learning models through warehouse-based inference functions and Snowpark Container Services.
Develop monitoring strategies utilizing:
Snowflake ML Observability
Data Metric Functions
Model Performance Monitoring
Drift Detection
Build A/B testing frameworks and champion/challenger deployment strategies.
Define rollback and recovery processes to minimize operational risk.
Monitor model accuracy, latency, reliability, and business impact metrics.

Governance, Security & Compliance

Design governance frameworks leveraging:
Role-Based Access Control (RBAC)
Data Masking
Row-Level Security
Data Tagging
Lineage Management
Ensure compliance with:
HIPAA
PHI/PII Data Handling Requirements
SOC 2 Controls
Enterprise Governance Policies
Support model risk management and auditability requirements.
Partner with security teams on:
Secrets Management
Network Security
External Access Integrations
Secure AI Operations

Leadership & Technical Enablement

Serve as the technical authority for MLOps architecture and platform engineering.
Mentor Machine Learning Engineers, Data Scientists, and Platform Teams.
Develop reusable frameworks, templates, standards, and implementation accelerators.
Evaluate emerging Snowflake AI and ML capabilities and provide recommendations for adoption.
Drive architectural excellence and continuous improvement across AI and ML initiatives.

Required Qualifications

Bachelor’s degree in Computer Science, Data Science, Engineering, Information Technology, or a related discipline, or equivalent work experience.
8+ years of experience in:
Data Engineering
Machine Learning Engineering
Data Platforms
Cloud Architecture
3+ years of experience designing and implementing MLOps and ML Platform architectures.
Strong hands-on Snowflake experience, including:
Snowpark Python
Stored Procedures
UDFs and UDTFs
Tasks
Streams
Dynamic Tables
Production experience with:
Snowflake ML APIs
Model Registry
Feature Store
Advanced expertise in:
Python
SQL
Machine Learning Frameworks
MLOps Best Practices
Experience with:
Scikit-Learn
XGBoost
LightGBM
PyTorch
TensorFlow
Experience implementing:
CI/CD Pipelines
Infrastructure as Code
Containerization with Docker
Knowledge of:
ML Monitoring
Drift Detection
Model Governance
Responsible AI Practices
Experience with at least one major cloud platform:
AWS
Azure
GCP

Preferred Qualifications

SnowPro Advanced Certification (Architect or Data Scientist).
SnowPro Specialty: Snowpark Certification.
Experience with:
Snowpark Container Services (SPCS)
GPU Workloads
Distributed Training Frameworks
Ray
Hyperparameter Optimization Platforms
Hands-on experience with:
Cortex Functions
Cortex Search
Cortex Agents
Retrieval-Augmented Generation (RAG)
LLM Fine-Tuning
Familiarity with:
MLflow
dbt
Apache Airflow
Kafka
OpenFlow
Experience migrating ML workloads from:
Amazon SageMaker
Databricks
Azure ML
On-Premises Environments
Healthcare, Insurance, or Financial Services industry experience.

Technical Expertise

Candidates should demonstrate expertise in:

Snowflake ML
Snowpark
Snowflake Model Registry
Feature Store Architecture
MLOps
Machine Learning Operations
AI Platform Engineering
CI/CD for ML
Snowpark Container Services (SPCS)
Cortex AI
Generative AI
Retrieval-Augmented Generation (RAG)
Python
Advanced SQL
Docker
Infrastructure as Code
ML Monitoring
Model Governance
Cloud Architecture
AWS
Azure
GCP

Salary and Other Compensation

The annual salary for this position is anticipated to be between $155,000 and $170,000 USD , depending on experience, qualifications, geographic location, and other factors permitted by law.

In addition to base salary, this position may be eligible for:

Annual Performance-Based Bonus
Merit-Based Compensation Increases
Employee Referral Bonuses, where applicable

Compensation information is accurate as of the date of this posting and may be modified based on business needs and applicable laws.

Benefits

Cognizant offers a comprehensive benefits package, including:

Medical, Dental, and Vision Insurance
Health Savings Account (HSA) and Flexible Spending Accounts (FSA)
Life Insurance and AD&D Coverage
Short-Term and Long-Term Disability Insurance
Paid Time Off (PTO) and Company Holidays
401(k) Plan with Company Contributions (subject to eligibility)
Employee Stock Purchase Plan (where available)
Employee Assistance Program (EAP)
Parental Leave and Family Support Benefits
Tuition Reimbursement and Professional Development Programs
Access to Learning, Certification, and Career Development Opportunities

Benefits are subject to eligibility requirements and plan terms.

Why Cognizant

Lead enterprise-scale AI and MLOps transformation initiatives.
Design and build next-generation machine learning platforms on Snowflake.
Work with cutting-edge AI, GenAI, and cloud-native technologies.
Collaborate with world-class data scientists, engineers, and architects.
Influence the future direction of enterprise AI platforms and governance strategies.
Access ongoing learning, certifications, and leadership development opportunities.

Equal Opportunity Employer

Cognizant is an equal opportunity employer. We are committed to fostering an inclusive workplace where all associates feel valued, respected, and empowered to contribute their unique perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or any other characteristic protected by applicable law.

Applications will be accepted until the position is filled.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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