Hi,
This is Diksha Chaudhary working with Novia Infotech. We have the below contract job opportunity with one of our direct clients and would like to check if you have any resources available. Please send across the resume of your consultants along with the contact information at the earliest to diksha.c@noviainfotech.com.
Role: Lead Data Engineer / Architect – AI & Marketing Data Modernization
Location: San Jose, CA
Duration: 12+ Months
Important Note: Local candidates only, Candidates must be able to work onsite in San Jose, CA.
Description:
We are seeking an experienced Lead Data Engineer / Architect to drive AI and Marketing Data Modernization initiatives. The ideal candidate will possess deep expertise in modern data engineering, cloud-native architectures, and AI-driven data platforms, with proven experience in marketing, advertising, and growth analytics ecosystems.
This role will lead the modernization of legacy data systems, architect scalable data platforms, and enable advanced analytics, AI, and marketing intelligence capabilities through modern data engineering practices.
Required Experience
- 8-12 years of experience in Data Engineering, Platform Engineering, or related fields.
- Proven experience within marketing, advertising, or growth analytics environments.
- Demonstrated success modernizing legacy data systems and scaling enterprise data platforms.
- Experience designing and implementing cloud-native, distributed data architectures.
Core Technical Skills
Data Engineering & Platform Development
- Strong expertise in:
- Apache Spark
- Databricks
- Delta Lake
- Distributed Data Systems
- Deep understanding of data modeling for:
- Analytics Platforms
- Marketing Data Use Cases
- Customer and Behavioral Data
- Campaign Performance Analytics
- Proficiency in:
- Python
- PySpark
- SQL
- Data Pipeline Development Frameworks
- Experience building highly scalable and resilient data processing solutions.
AI & Modern Data Engineering
- Hands-on experience integrating AI and Machine Learning capabilities into data workflows, including:
- Predictive Analytics
- Workflow Automation
- Anomaly Detection
- Intelligent Data Processing
- Familiarity with:
- Generative AI (GenAI)
- Agentic AI Use Cases
- AI-Driven Engineering Productivity Solutions
- Experience with:
- Data Observability Platforms
- Data Governance Frameworks
- Data Automation Tools
- Monitoring and Quality Management Solutions
Marketing Data Ecosystem
Strong experience working with marketing and advertising data platforms, including:
Advertising Platforms
- Google Ads
- Meta Advertising Platforms
- TikTok Ads
- Snapchat Ads
- Other Digital Advertising Platforms
Marketing Analytics
- Event Tracking and User Behavior Analytics
- Attribution Modeling
- Cohort Analysis
- Campaign Performance Measurement
- Customer Journey Analytics
- Experimentation Platforms and A/B Testing Frameworks
- Real-Time Marketing Analytics
Architecture & Cloud Platforms
- Experience designing and implementing:
- Lakehouse Architectures
- Streaming Data Pipelines
- Event-Driven Architectures
- Real-Time Analytics Platforms
- Hands-on experience with cloud data services across:
- Amazon Web Services (AWS)
- Microsoft Azure
- Google Cloud Platform (GCP)
DevOps & Engineering Practices
- Experience with:
- Continuous Integration and Continuous Deployment (CI/CD)
- Infrastructure-as-Code (IaC)
- Git-Based Development Workflows
- Automated Deployment Frameworks
- DevOps Best Practices
Key Responsibilities
- Lead the modernization of legacy marketing data platforms and architect next-generation data ecosystems.
- Design and implement scalable Lakehouse and distributed data architectures.
- Build and optimize high-performance data pipelines supporting analytics, reporting, and AI workloads.
- Develop real-time data processing and streaming solutions for marketing and user behavior analytics.
- Integrate AI and machine learning capabilities into data engineering workflows.
- Establish data governance, observability, and automation frameworks.
- Collaborate with engineering, analytics, product, and marketing teams to deliver business-driven data solutions.
- Define architectural standards, best practices, and engineering frameworks for enterprise data initiatives.
- Mentor engineering teams and provide technical leadership on modern data platform strategies.
Required Skills
- Apache Spark
- Databricks
- Delta Lake
- Python / PySpark
- SQL
- Distributed Data Systems
- Lakehouse Architecture
- Streaming Data Pipelines
- Event-Driven Architecture
- Cloud Data Services (AWS, Azure, GCP)
- Data Modeling
- Data Governance
- Data Observability
- Marketing Analytics Platforms
- AI/ML in Data Workflows
- GenAI and Agentic AI Concepts
- CI/CD and Infrastructure-as-Code
- Git-Based Development Workflows
Preferred Qualifications
- Experience supporting large-scale marketing technology ecosystems.
- Experience building AI-enabled data platforms and advanced analytics solutions.
- Strong understanding of experimentation platforms and real-time decisioning systems.
- Proven ability to lead modernization initiatives and influence enterprise architecture decisions.
Role: Lead Data Engineer
/ Architect – AI & Marketing Data Modernization
Primary Skills:
Spark, Databricks, Delta Lake, Python, PySpark, SQL, AI & Marketing
Analytics
Experience Required:
8-12 Years
Location:
San Jose, CA
Work Arrangement:
100% Onsite
Duration:
12+ Months
Candidate Requirement:
Local candidates only
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Diksha Chaudhary |
E: diksha.c@noviainfotech.com |
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