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.
As a Data Systems Engineer, you will design and maintain data integrations, develop metadata pipelines, and collaborate with stakeholders to enhance data governance and interoperability.
The Data and Integration Engineer will focus on API integration engineering, data quality, automation, and the secure integration of AI capabilities to enhance business data accessibility.
The Data Developer is responsible for designing and maintaining data integration and analytics solutions, ensuring reliable access to enterprise data and supporting business intelligence initiatives.
As a Data Engineer II, you will build and enhance data platforms and pipelines to support GolfNow and the Sports Next ecosystem, ensuring reliable and scalable data solutions.
As a Data Engineer, you will build and optimize data pipelines, support analytics tooling, and extend the machine learning platform while mentoring junior engineers.
