- Build Salesforce Data Cloud (Data 360) marketing data solutions.
- Design DLO, DMO, identity, segmentation, and activation frameworks.
- Work across telecommunications data, customer 360, and campaign personalisation.

- Build Salesforce Data Cloud (Data 360) marketing data solutions.
- Design DLO, DMO, identity, segmentation, and activation frameworks.
- Work across telecommunications data, customer 360, and campaign personalisation.

Company Description

Showtime Consulting is a leading provider of Shielded Cloud and Digital Solutions across Australia and New Zealand. We specialise in delivering secure, enterprise-scale technology solutions across cloud, infrastructure, cybersecurity, business applications, and digital transformation programs.

We partner with government and enterprise organisations to build high-performing technology teams that deliver scalable, productive, and future-ready business solutions.

The Role

We are seeking an experienced Senior Salesforce Data Cloud Developer with strong expertise in Salesforce Data Cloud (Data 360) and telecommunications customer data environments. This role will be responsible for designing, implementing, and optimising customer data solutions that transform complex customer, account, product, and service data into meaningful customer insights and highly targeted marketing audiences.

You will work closely with business stakeholders, architects, data engineers, and marketing teams to design scalable data models, identity resolution frameworks, segmentation strategies, and activation pipelines that power customer engagement and personalisation initiatives.

The ideal candidate will have deep hands-on experience with Data Lake Objects (DLOs), Data Model Objects (DMOs), identity modelling, data transformations, consent management, segmentation, and Salesforce Marketing Cloud integrations.

Key Responsibilities

- Design, develop, and implement scalable solutions within Salesforce Data Cloud (Data 360).
- Build customer data foundations that support marketing, analytics, and customer engagement initiatives.
- Design and maintain Data Lake Objects (DLOs) and Data Model Objects (DMOs).




- Define and implement DLO-to-DMO mappings and transformation frameworks.
- Design identity resolution models and customer relationship structures.
- Develop customer, account, product, service, and subscription data models.
- Create audience segmentation strategies to support targeted marketing campaigns.
- Design and implement consent and preference management frameworks.
- Develop data transformation processes including:
- Data cleansing
- Standardisation
- Normalisation
- Deduplication
- Aggregation

- Support batch and streaming data ingestion and transformation pipelines.
- Integrate Data Cloud with Salesforce Marketing Cloud and other activation channels.
- Troubleshoot activation workflows, data pipelines, and integration issues.
- Conduct data reconciliation and validation activities to ensure data quality.
- Collaborate with stakeholders to gather requirements and translate business needs into technical solutions.
- Participate in architecture discussions and provide recommendations on Data Cloud best practices.
- Develop technical documentation, design specifications, and implementation artefacts.
- Participate in code reviews and ensure adherence to development standards and quality practices.
- Support end-to-end solution delivery across planning, build, testing, deployment, and production support.

What You'll Need

- 7-10 years of software development and enterprise data solution experience.
- Strong commercial experience with Salesforce Data Cloud (Data 360).
- Experience designing and implementing customer data platforms and marketing data solutions.
- Strong knowledge of:
- Data Lake Objects (DLOs)
- Data Model Objects (DMOs)
- DLO-to-DMO mappings
- Identity resolution
- Relationship modelling




- Segmentation
- Consent management

- Experience transforming customer, account, service, product, and subscription data into marketing-ready datasets.
- Strong understanding of customer data modelling and Customer 360 platforms.
- Experience designing activation data structures for marketing campaigns and personalisation.
- Strong knowledge of Salesforce Communications Cloud environments.
- Experience integrating Salesforce Data Cloud with Salesforce Marketing Cloud.
- Hands‑on experience with:

- Apex
- Java
- JavaScript

- Experience with batch and real‑time data processing frameworks.
- Strong understanding of data governance, data quality, and reconciliation practices.
- Excellent troubleshooting and analytical problem‑solving skills.
- Experience participating in full software development lifecycle activities.

Preferred Skills

- Experience within telecommunications environments.
- Understanding of customer activation and service‑level data models where MSISDN or mobile services are primary identifiers.
- Experience working with:
- Databricks
- Delta Lake
- Lakehouse architectures
- Modern cloud data platforms

- Experience designing customer engagement and campaign activation solutions.
- Knowledge of customer consent, privacy, and regulatory compliance requirements.
- Experience integrating enterprise data platforms with marketing technologies.
- Salesforce certifications are highly regarded.
- Exposure to cloud‑native architectures and modern data engineering practices.

Why Join This Opportunity?

- Lead enterprise Salesforce Data Cloud transformation initiatives.
- Work with cutting‑edge Customer 360 and marketing data technologies.
- Deliver highly visible customer engagement and personalisation programs.
- Collaborate with architects, marketers, and data specialists on large‑scale digital initiatives.
- Influence customer data strategy, governance, and activation capabilities.
- Join a high-performing team focused on innovation, data excellence, and customer experience.

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📌 Sr. Salesforce Data Cloud Dev (Sydney)
🏢 Showtime Consulting
📍 Sydney