**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Deepa Narayanan
Location: San JoseCA
Duration: 6 Months
skill id:10782953
100% ONSITE ROLE
** LOCAL CANDIDATES ONLY**
^^^ NEW JOB DESCRIPTION: 6/24/26
Lead Data Engineer / Architect - AI & Marketing Data Modernization
Experience
8-12 years of experience in data engineering / platform engineering
Proven experience working in marketing, advertising, or growth analytics ecosystems
Strong track record of modernizing legacy systems and scaling data platforms
Core Skills
Data & Engineering
Strong expertise in Spark, Databricks, Delta Lake, distributed data systems
Deep understanding of data modeling for analytics and marketing use cases
Proficiency in Python (PySpark), SQL, and data pipeline frameworks
AI & Modern Engineering
Hands-on exposure to AI/ML in data workflows (predictive analytics, automation, anomaly detection)
Familiarity with GenAI / Agentic AI use cases in engineering productivity
Experience with data observability, governance, and automation tools
Marketing Data Ecosystem
Experience with:
Ad platforms (TikTok, Snap, Google Ads, Meta, etc.)
Event tracking and user behavior data
Attribution models, cohort analysis, campaign performance
Understanding of real-time analytics and experimentation platforms
Architecture & Cloud
Architectures: Lakehouse, streaming pipelines, event-driven systems
Cloud: AWS / Azure / GCP data services
DevOps: CI/CD, Infrastructure-as-Code, Git-based workflows
Skills: Digital : Databricks
Experience Required: 6-8, Project Code :
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Deepa Narayanan
Location: San JoseCA
Duration: 6 Months
skill id:10782953
100% ONSITE ROLE
** LOCAL CANDIDATES ONLY**
^^^ NEW JOB DESCRIPTION: 6/24/26
Lead Data Engineer / Architect - AI & Marketing Data Modernization
Experience
8-12 years of experience in data engineering / platform engineering
Proven experience working in marketing, advertising, or growth analytics ecosystems
Strong track record of modernizing legacy systems and scaling data platforms
Core Skills
Data & Engineering
Strong expertise in Spark, Databricks, Delta Lake, distributed data systems
Deep understanding of data modeling for analytics and marketing use cases
Proficiency in Python (PySpark), SQL, and data pipeline frameworks
AI & Modern Engineering
Hands-on exposure to AI/ML in data workflows (predictive analytics, automation, anomaly detection)
Familiarity with GenAI / Agentic AI use cases in engineering productivity
Experience with data observability, governance, and automation tools
Marketing Data Ecosystem
Experience with:
Ad platforms (TikTok, Snap, Google Ads, Meta, etc.)
Event tracking and user behavior data
Attribution models, cohort analysis, campaign performance
Understanding of real-time analytics and experimentation platforms
Architecture & Cloud
Architectures: Lakehouse, streaming pipelines, event-driven systems
Cloud: AWS / Azure / GCP data services
DevOps: CI/CD, Infrastructure-as-Code, Git-based workflows
Skills: Digital : Databricks
Experience Required: 6-8, Project Code :