Summary
✨ AI‑Generated
Work as a Data Engineer across customer data, cloud, and unified data platforms. You will build data models and integrations, develop batch and streaming pipelines, onboard and validate data, support identity resolution and unified profiles, and manage deployments across multiple environments. The role also involves cloud-based data offloads, documentation, reliability, and close collaboration with DevOps, architects, and operations teams.
Highlights
Permanent full-time opportunity working across modern customer data and cloud data platforms. The role provides broad exposure to batch and streaming pipelines, data integration, identity resolution, production deployments, and collaboration with architecture, DevOps, and operations teams.
Description
Role: Data Engineer (Salesforce Data Cloud + AWS+ Databricks + Pega Decisioning)
Location: Sydney
Permanent (Fulltime)
Job Description
We are seeking a skilled Data Engineer to work across Salesforce Data Cloud and Databricks
Key Responsibilities
Salesforce Data Cloud
Build and manage DMOs, DSOs, and source to model mappings.Develop data integration and offload solutions with upstream/downstream systems.Configure Identity Resolution rules and unified customer profiles.Support deployments across Dev, SIT, UAT, Pre Prod, and Production environments.Manage data onboarding, validation, attribute mapping, and documentation.
Databricks (Unified Data Platform)
Design and maintain batch and streaming data pipelines.Ingest and transform data from CRM, digital, and third party sources.Support data dictionary creation and cloud storage based data offloads.Collaborate with DevOps, Architects, and Operations teams to ensure platform reliability.
Decisioning Platform (Pega or Equivalent)
Support data requirements for real time decisioning and personalization platforms.Partner with analytics and decisioning teams to ensure timely, accurate data delivery.Contribute to solution planning and dependency management for decisioning use cases.
Cross Platform Delivery
Deliver multiple use cases in Agile squads while managing cross team dependencies.Create and maintain technical documentation, implementation plans, and runbooks.Participate in sprint ceremonies, backlog refinement, and release activities.Provide SIT, UAT, and data validation support across environments.
Skills & Experience
Essential
5 years of enterprise data engineering experience.Hands on experience with Salesforce Data Cloud (DMOs, DSOs, Data Streams, Identity Resolution).Strong knowledge of Databricks, data lakes, ETL/ELT, and pipeline orchestration.Proficiency in SQL and Python.Experience with release management, deployment processes, and technical documentation.
Preferred
Knowledge of Pega or other real time decisioning platforms.Experience with AWS S3, Azure Data Lake, and workflow orchestration tools (Airflow or equivalent).Understanding of data governance, lineage, and quality frameworks.Exposure to MarTech, large scale transformation programs, and Agile/SAFe delivery models
Interested Candidates can share their updated resumes on sourabh.sood@carecone.com.au or can reach me on +61 251 103 879
