Senior Data Analyst/CDP Developer

delta computer consulting Los Angeles Metropolitan Area
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AI Summary

We are seeking a Senior Data Analyst/CDP Developer to support enterprise Customer Data Platform (CDP) operations, improve data quality, and deliver scalable data solutions. This role will blend advanced SQL development, CDP integration, workflow orchestration, and production data troubleshooting. The ideal candidate will bring strong expertise in customer data platforms, advanced SQL engineering, Python automation, and cloud data environments.

Key Highlights
Data Analysis and Development
CDP and Pipeline Operations
Troubleshooting and Production Support
Key Responsibilities
Analyze customer data, event streams, and large-scale datasets to generate insights
Develop and optimize advanced SQL queries across Presto, Hive, and NoSQL environments
Support CDP workflow orchestration
Monitor and enhance data quality frameworks
Technical Skills Required
Advanced SQL development Presto Hive NoSQL environments Python Data processing Automation API integrations Workflow support Digdag TD Workflows Cloud data platforms
Benefits & Perks
Health insurance
Vision insurance
Dental insurance
Life insurance
401k
Continuing education
Nice to Have
Treasure Data CDP
Informatica
Adobe
Salesforce CDP
Tealium
mParticle
Data modeling
Identity resolution
Profile unification
CI/CD and Git-based workflows
Strong privacy and compliance experience

Job Description


Compensation & Location

Location: Onsite in Torrance, CA

Pay Range: $54.00 – $61.00 per hour (based on experience and internal equity)

Schedule: Full-time, contract; long-term opportunity

Work Type: 100% Onsite

Benefits: Health, Vision, Dental, Life Insurance, 401k, Continuing and on-demand education



📍 Must be willing to work onsite in Torrance, CA (LA County)

‼️ ONLY W2 – NO CORP to CORP – NO 3rd Parties

Sponsorship is available for this role



Position Summary

We are seeking a Senior Data Analyst / CDP Developer to support enterprise Customer Data Platform (CDP) operations, improve data quality, and deliver scalable data solutions across large customer and event datasets. This role blends advanced SQL development, CDP integration, workflow orchestration, and production data troubleshooting.


The ideal candidate brings strong expertise in customer data platforms, advanced SQL engineering, Python automation, and cloud data environments, along with experience supporting production data pipelines and customer data privacy requirements.



Key Responsibilities

Data Analysis & Development

  • Analyze customer data, event streams, and large-scale datasets to generate insights
  • Develop and optimize advanced SQL queries across Presto, Hive, and NoSQL environments
  • Use Python for data processing, automation, API integrations, and workflow support
  • Perform exploratory data analysis and anomaly detection
  • Document data processes, business rules, and workflows


CDP & Pipeline Operations

  • Support CDP workflow orchestration (Digdag, TD Workflows, or similar tools)
  • Monitor and enhance data quality frameworks and observability pipelines
  • Maintain CI/CD and Git-based version control for data code and documentation
  • Support end-to-end data lifecycle from ingestion to activation


Troubleshooting & Production Support

  • Diagnose data pipeline failures and workflow issues
  • Perform root cause analysis using logs and monitoring tools
  • Support production job monitoring, data validation, and output verification
  • Implement fixes and reliability improvements


Data Governance & Compliance

  • Ensure adherence to privacy and compliance standards (GDPR, CCPA, PII handling)
  • Support identity resolution, schema design, and profile unification


What You’ll Be Working On

  • Customer Data Platform integrations and pipeline operations
  • Large-scale customer and event data processing
  • Data quality, automation, and workflow optimization
  • Cross-functional data solutions supporting CRM, marketing, and analytics teams



Required Skills & Experience

  • Bachelor’s degree in Data Science, Computer Science, Engineering, or related field
  • 5+ years combined experience in data analysis, data engineering, or data operations
  • Advanced SQL development and query optimization (Presto, Hive, NoSQL environments)
  • Experience working with Customer Data Platforms and CRM data integrations
  • Strong Python experience for data automation and APIs
  • Cloud data platform familiarity (AWS preferred)
  • Experience with workflow orchestration tools (Digdag, TD Workflows, or similar)
  • Experience supporting production data environments
  • Experience with data quality frameworks, monitoring, and alerting
  • Strong communication and cross-functional collaboration skills



Preferred Skills

  • Experience with Treasure Data CDP or similar platforms (Informatica, Adobe, Salesforce CDP, Tealium, mParticle)
  • Experience with data modeling, identity resolution, and profile unification
  • Experience with CI/CD and Git-based workflows
  • Strong privacy and compliance experience (GDPR, CCPA, PII handling)
  • 3+ years of Big 4 consulting experience (preferred)
  • Stable work history within large enterprise organizations

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