Salesforce Data 360 Engineer

Who We Are
HIKE2 is an advisory and innovation partner helping organizations design and build what’s next.
We work with complex and regulated industries, including law firms, financial services, insurance, professional services, and high-growth SaaS companies, to modernize operating models and embed data, automation, and AI into the core of how work gets done.
Our clients aren’t just upgrading technology. They are rethinking workflows, activating governed AI, and designing environments where humans and intelligent systems work side by side.
We believe meaningful transformation happens when strategy, data, design, and engineering move together. Siloed initiatives don’t scale. Real progress requires clarity of vision, strong data foundations, responsible governance, and disciplined execution.
Our teams bring deep industry expertise, human-centered design, and advanced data and cloud capabilities to architect secure, scalable solutions built for real-world complexity. From modern data platforms to AI-enabled workflows and enterprise automation, we help organizations move from experimentation to measurable impact.
We thrive in change and move from blank slate to working systems. We care deeply about outcomes, trust, and building long-term partnerships.
We don’t just implement technology. We help design the future of work.
Role Description:
A Salesforce Data 360 Engineer builds and manages data pipelines, unifies customer data, and connects external sources to the Salesforce Data Cloud platform
Key Responsibilities:

- Data Ingestion: Connect and ingest data from CRM, marketing platforms, cloud data warehouses, and external APIs into Salesforce Data Cloud.

- Data Modeling: Create and manage Data Model Objects (DMOs), Data Lake Objects (DLOs), and standard or custom mappings.

- Identity Resolution: Set up and optimize identity resolution rules to merge duplicate customer profiles into a single, unified view.

- Data Activation: Build segments and activate unified data across marketing, sales, and service channels.

- Monitoring & Troubleshooting: Monitor data streams, troubleshoot ingestion errors, and ensure data quality and compliance.

- Collaboration: Work with administrators, marketers, and developers to align data architecture with business goals.

Requirements

Qualifications & Skills; Experience: 3-7+ years working with Salesforce platforms and at least 1–2 years specializing in Salesforce Data Cloud; Certifications: Current Salesforce Certified Data Cloud Consultant credential preferred.; Technical Skills:; Proficiency in SQL for data querying and segmentation.; Understanding of ETL/ELT processes and data warehousing concepts.; Experience with APIs, JSON, and cloud storage integrations (e.g., AWS S3, Google Cloud).; Experience in Design and development of Salesforce solutions using:; Apex (classes, triggers, async processing); Lightning Web Components (dynamic, reusable UI); Integrations (REST/SOAP APIs); Don’t meet every requirement?; Accommodation Statement; We are committed to providing reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs throughout the hiring process. If you require an accommodation to complete the application or participate in the interview process, please let us know.; BGC Notice; Employment may be contingent upon successful completion of a background check, conducted in compliance with applicable federal, state, and local laws.; US Citizenship; Due to the nature of our client work, all applicants must reside in the U.S. and hold US Citizenship to be considered for employment. Hike2 cannot sponsor work authorizations or visas now or in the future.; EEO Statement; Disclaimer; This job description is not intended to be an exhaustive list of duties, responsibilities, or qualifications and may be modified at any time to meet business needs.