Director-level role responsible for developing strategic digital marketing data ecosystems, conducting data maturity and readiness assessments, defining roadmaps and KPIs, and guiding solution architectures that integrate measurement, modeling, martech/adtech, and analytics. Role interfaces with Data & Analytics, Marketing, Experience Design, and Technology teams, supports pitches/estimates/SOWs, and helps build the Data Strategy practice. Visa sponsorship is available. Salary range: $157,000–$227,695 USD per year.

Hands-on data engineering role focused on Adobe RTCDP/AEP: implement and maintain XDM schemas and dataset mappings, build ingestion pipelines (batch/stream/SDK/API), enable Profile datasets, implement identity resolution, validate data and segmentation readiness, troubleshoot ingestion and mapping issues, and support activation across marketing and analytics. Employer willing to sponsor eligible employment visas.

Senior architect role responsible for end-to-end AEP/RT-CDP solution design, data ingestion (batch and streaming), XDM schema design, identity resolution, integrations with Adobe Experience Cloud products and enterprise systems, data governance and privacy compliance (GDPR/CCPA), technical leadership, and performance/security optimization. Typical experience: 8+ years IT with 3–5+ years in AEP/RT-CDP or enterprise CDP architecture.

Responsible for architecture, governance, identity strategies, XDM schema design, ingestion (batch/stream/SDK/API), profile enablement, federated audience composition, segmentation and activation, and operationalizing Adobe RTCDP/AEP solutions. Partners with data engineering, privacy, and martech teams; leads discovery, documentation, QA, and deployment. Requires 3+ years hands-on Adobe RTCDP/AEP experience (preferred 7–10+ years in MarTech or data engineering); skills include XDM, APIs, streaming, ETL/ELT, cloud platforms (AWS/GCP/Azure), data warehouses (Snowflake, BigQuery, Redshift), Python, JavaScript, SQL, and knowledge of GDPR/CCPA and data governance.

Lead the architecture and implementation of a Databricks-based lakehouse across major clouds, build scalable batch and streaming pipelines, enforce governance (Unity Catalog), optimize Spark workloads, and partner with ML and analytics teams. Requires 8+ years in data engineering with production Databricks experience, strong Spark/PySpark and Delta Lake expertise, cloud infrastructure and IaC experience, and leadership/mentoring experience.

Principal Databricks Architect responsible for architecting and implementing a Databricks-based lakehouse across major cloud providers (AWS/Azure/GCP). Role includes designing batch and streaming pipelines (PySpark, Spark SQL, Structured Streaming, Delta Live Tables), platform standards (CI/CD, testing, observability), Unity Catalog governance, Spark performance optimization, ML operationalization (MLflow, feature stores), and Terraform/IaC for infrastructure. Requires 10+ years data engineering experience (4+ years on Databricks). Salary listed $190,000–$200,000 USD/year. Employer may sponsor work visas and expects ~monthly travel.