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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data architecture, pipeline development, and privacy compliance within Digital Marketing Operations. Proficient in building and evolving data systems while ensuring reliability, performance, and security across cross-functional teams.
Highest-signal resume keywords
Data Architecture DesignPython ProgrammingApache Spark ExperienceCloud Data Platform ServicesPrivacy Compliance Expertise
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Own a key data domain within Digital Marketing Operations, spanning pipelines, data products, audience services, and consumer teams
- Shape architecture and interfaces while addressing scale, reliability, performance, privacy compliance, security, cost, and compatibility
- Lead complex cross-functional initiatives across engineering, marketing, and operations
- Translate requirements into data architectures and write high-quality production code
- Architect, implement, and evolve batch and streaming pipelines for customer behavioral, audience, campaign, consent, and activation data
- Build systems using distributed processing frameworks, workflow orchestration tools, cloud data warehouses, object storage, and pub/sub messaging platforms
- Build and evolve shared data quality frameworks and engineering standards
- Lead production incident investigations and drive root-cause resolution and preventive improvements
- Embed privacy and compliance controls, including data governance, consent propagation, GDPR and PIPL compliance, data minimization, access boundaries, right-to-erasure workflows, and auditable data lineage
- Establish data models, semantics, ownership boundaries, and serving interfaces across teams
- Deliver trusted data assets for marketing consumers
- Provide technical leadership through architecture and data model reviews, mentorship, reusable patterns, and technical decision-making
Requirements
What you’ll need- 8+ years of relevant industry experience
- Bachelor's degree or equivalent experience
- Master's degree or equivalent in Computer Science, Engineering, or a related field
- Proficiency in Python and one or more modern programming languages such as Java or Golang
- Strong SQL fundamentals
- Experience with Apache Spark or similar distributed data processing frameworks
- Experience with cloud-managed ETL services
- Experience with Airflow or equivalent workflow orchestration tools
- Strong experience with cloud data platform services, object storage, cloud data warehouses, and managed transformation services
- Experience with data lake and lakehouse architectures, including Apache Iceberg
- Strong SQL and NoSQL skills and data-modeling proficiency
- Experience building systems that move customer, behavioral, consent, campaign, or audience data across multiple platforms
- Skill diagnosing production failures across distributed systems using logs, metrics, traces, query plans, and profiles
- Strong architectural judgment across reliability, performance, cost, privacy, compatibility, and maintainability
Benefits
Comp & perks- Equity
- Benefits
- Equal opportunity employer
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQL FundamentalsNoSQL SkillsData Modeling ProficiencyDistributed Processing FrameworksBatch and Streaming PipelinesWorkflow Orchestration ToolsCloud Data WarehousesData GovernanceRoot-Cause AnalysisTechnical Leadership
Soft Skills
Cross-Functional LeadershipMentorshipTechnical Decision-Making
Tools & Technologies
AirflowCloud-Managed ETL ServicesObject StoragePub/Sub Messaging PlatformsApache Iceberg
Certifications & Qualifications
Bachelor's DegreeMaster's Degree in Computer Science or Engineering
Industry Keywords
Digital Marketing OperationsData Quality FrameworksGDPR CompliancePIPL ComplianceData Minimization