Salesforce Data Cloud Senior Developer Needed

@vishal1145

Your identity resolution strategy will fail if you're relying on email-only matching across 5+ data sources. I've seen this pattern break down when customers use different emails for purchases vs support tickets - you'll end up with duplicate profiles that fragment your segmentation and tank campaign performance. Before architecting the solution, I need clarity on two things: What's your current data volume and ingestion frequency (are we talking 10M records daily or 100M monthly)? And does your Salesforce org already have Marketing Cloud connected, or are we building the activation layer from scratch? Here's the architectural approach: - SALESFORCE DATA CLOUD: Design a multi-layered identity resolution strategy using fuzzy matching on name+phone+address, not just email deterministic matching. This prevents profile fragmentation when customers interact across channels. - SQL + CALCULATED INSIGHTS: Build reusable segmentation logic that runs sub-second queries on 50M+ records by pre-aggregating behavioral metrics (purchase frequency, LTV bands, engagement scores) instead of calculating on-demand. - DATA STREAMS + API INTEGRATION: Set up real-time ingestion from Sales Cloud and batch pipelines from your data warehouse using S3 connectors, with automated data quality checks that flag schema drift before bad data pollutes your golden records. - GDPR + CONSENT MANAGEMENT: Implement consent capture at the DMO level with automated suppression rules that propagate to Marketing Cloud within 15 minutes, ensuring you're not activating segments with withdrawn consent. - MARKETING CLOUD ACTIVATION: Configure Journey Builder entry events triggered by Data Cloud segment membership changes, enabling real-time personalization without manual list uploads. I've built 4 Data Cloud implementations for enterprise clients processing 20M-80M customer records. Two questions before we proceed: what's your timeline expectation, and have you already mapped your source system schemas to the Data Cloud data model?

@KarthikTechCon

Hi, I’m Karthik with 15+ years in Data Engineering/CRM and hands-on experience delivering Customer 360 solutions, including Salesforce Data Cloud (Data 360). I can design and implement a scalable CDP that unifies profiles, enables real-time segmentation, and activates data across Salesforce and external platforms. **What I’ll deliver:** ✔ Data Cloud setup: Data Streams (batch/real-time), DMOs, Identity Resolution ✔ Unified Customer Profiles (Golden Records) with matching & reconciliation rules ✔ Robust data pipelines (APIs, S3/BigQuery, streaming + batch) with normalization ✔ Advanced segmentation (SQL, Calculated Insights) ✔ Activation to Marketing Cloud, Journey Builder, ads platforms ✔ Automation for ingestion, data quality checks, and activation workflows ✔ Governance: GDPR/CCPA, consent management, PII security **Experience:** * Salesforce Sales, Service & Marketing Cloud integrations * CDP implementations with identity graphs & performance-optimized models * Real-time personalization and campaign activation pipelines * ETL/ELT with cloud data lakes/warehouses (AWS/GCP/Azure) **Approach:** Discovery → Data Model & Identity Design → Ingestion Pipelines → Segmentation → Activation → QA & Governance **Timeline:** 6–10 weeks (based on scope) **Start:** Immediate Happy to share similar CDP use cases. Let’s build a powerful, scalable Customer Data Cloud solution.

@raj00565

Hi, With our 12+ years of experience in system administration, network engineering, and DevOps, we offer a unique blend of skills and extensive knowledge that will make us your unparalleled choice for this specific position. Our team's solid groundwork in DevOps and cloud automation align perfectly with the responsibilities and expectations of this role. We are well-versed in SQL like no other, able to perform complex transformations and handle data segmentation proficiently, crucial skills for delivering a unified customer profile which is a cornerstone for the project. To add on, our range of experience includes working with different Salesforce clouds such as Sales, Service, and Marketing Clouds. Hence, we have a comprehensive understanding of customer journeys, campaigns activation - vital to implementing effective solutions across the Salesforce ecosystem as required. Moreover, our team's extensive background in Data governance only further emphasizes why we're the best fit for your project. We understand the importance of protecting PII and customer data while being compliant with privacy regulations like GDPR or CCPA. This thorough understanding combined with skills like developing custom logic using SQL or APIs to automate intricate workflows and to ensure data quality will definitely enrich your team. Regards Dhanu Innovations Pvt. Lt

@Web1devloper

With my 8+ years of relevant experience in data analytics and science, I can bring to this Senior Salesforce Data Cloud role a unique combination of skills that perfectly align with your needs. My background encompasses hands-on work involving data modeling, data integrations, identity resolution, and real-time data activation – all crucial aspects demanded by this project. Throughout my career, I've made numerous powerful transformations in different datasets, deriving data-centric solutions - right from complex to actionable business insights. My abilities extend across domains and technologies like SQL & APIs, with vast experience even beyond the Salesforce ecosystem that you're dealing with. This broad perspective makes me particularly insightful in collaborative work like yours which relies on skillful coordination between Marketing teams, Data Engineering teams, CRM stakeholders. A significant slice of my expertise lies aligned with the advanced customer profiles, segmentation, and activation components of a project like this one.

@technologiesit

With over nine years of experience in data engineering and CRM, my team at Prajapati Technologies is more than qualified to undertake the task of ensuring your Salesforce Data Cloud operates with precision and efficiency. Our expertise centers around efficient cloud platforms like AWS, GCP, and Azure, making us an ideal fit for your project’s needs. Moreover, being well-versed in Python skills and familiar with various data integration techniques, we can skillfully handle ETL/ELT pipelines and real-time streaming data to provide you with a smoothly functioning, seamless system. As a team leader, I take pride in our collaborative skills. We prioritize working closely with you and all CRM stakeholders to align our solution design approaches with your vision. Our wide range of technical skills including but not limited to SQL, Data Governance, and Salesforce Marketing Cloud allows us to offer tailored solutions in addition to bestowing automation advantages on your systems. Furthermore, our comprehensive understanding of data privacy regulations makes us a trustworthy choice when it comes to consent frameworks and the proper handling of PII and customer data.

@Solutionzhere

Hi, this aligns perfectly with our Salesforce Data Cloud practice at SolutionzHere (CDP + identity resolution + activation). We’ve implemented Data Streams (batch/real-time), DMOs, identity rules, and unified profiles, plus SQL-based segmentation + activation to Marketing Cloud/Journey Builder. Strong on API integrations (S3/BigQuery), data harmonization, and consent/GDPR frameworks. We also build automation pipelines + data quality checks and mentor teams. Your budget is slightly low for senior (9+ yrs). Realistically ₹1.2L–₹2L/month for a strong Data Cloud developer. We’ve delivered similar Customer 360 platforms. One question: are your data sources already connected, or starting ingestion from scratch?

@PyMLExpert1

Given my extensive experience as a Python developer, I can bring forth the analytical and computational skills that are essential for this role. I've had the opportunity to work on highly complex algorithms and handle massive datasets, which aligns directly with the demanding nature of this project. My proficiency in data engineering, CRM integration and APIs will certainly prove valuable in designing scalable ingestion pipelines and implementing data normalization and harmonization. Moreover, as a professional well-versed in machine learning, I'm used to creating predictive models that require designing and implementing matching and reconciliation rules similar to what's demanded here. I can also develop custome logic for automating data ingestion workflows and other activation processes using SQL, APIs and Salesforce tools efficiently. Lastly, I appreciate the need for strict data governance adhering to regulations like GDPR and CCPA to ensure secure handling of PII and customer data which your firm targets. If given the opportunity to serve you in this role, my commitment is towards leveraging my expertise to make Salesforce Data Cloud an optimal tool for your customer data integration needs.

@deepaks182

Hi, I reviewed your requirement and understand the need to build a scalable CDP with strong data modeling, identity resolution, and real-time activation. I'm Deepak with 13+ years of experience, I can support end-to-end implementation, from data ingestion (batch/real-time) across Salesforce and external systems to designing DMOs, identity rules, and unified customer profiles, along with segmentation and activation. Approach: - 1. Discovery & Design: Define architecture and data strategy 2. Data Ingestion: Configure streams from Salesforce and external sources 3. Modeling & Identity: Build DMOs, matching rules, unified profiles 4. Segmentation & Activation: Create segments and enable activation 5. Automation & Governance: Ensure data quality, privacy, and workflows 6. Testing & Deployment: Validate and deploy with best practices Timeline: - 4–6 weeks (depending on data sources and complexity) Budget: - I will provide after discuss your requirement. I’m available to start immediately and collaborate closely with your team. Looking forward to connecting. Regards, Deepak Salesforce Developer

@kaustubhbawa123

Hi, I am an IITian , worked at fortune 500 companies. I will make it a reality for you. With 7+ years of experience I will leverage my 9+ years of experience in designing and implementing scalable data solutions on Salesforce Data Cloud, utilizing techniques such as identity resolution and realtime data activation to unify customer profiles, segment, and activate across Salesforce and external ecosystems. Kindly click on the chat button so we can discuss and get started. Will share you my prior projects done and my resume too. I have been doing freelancing since 2019 worked at top MNCs in both USA and India. Lets connect

@shokoufeh1994

I have built Salesforce Data Cloud integrations using the REST and Bulk APIs, configuring data streams, identity resolution, and calculated insights with Python and Node.js pipelines. I can ingest data from external sources, map to the data model, set up activation targets, and write SOQL-based segments for marketing use cases. I will document all components clearly so your team can maintain the setup independently. Are you primarily working on ingesting data into Data Cloud, building segments, or setting up activation to downstream platforms?

@rishus722

Looking for reliable and high-quality software development? You're in the right place. I specialize in building scalable, efficient, and user-friendly applications tailored to your specific needs. Whether you're a startup, business, or individual, I can turn your ideas into fully functional software solutions. What I Offer: Custom Web Application Development (Frontend & Backend) Mobile App Development (Android & iOS) Desktop Software Development API Development & Integration Bug Fixing & Performance Optimization Database Design & Management UI/UX Implementation Technologies I Work With: JavaScript (React, Node.js) Python (Django, Flask) Java / Kotlin C# (.NET) SQL & NoSQL Databases RESTful APIs Why Choose Me: Clean, maintainable, and scalable code On-time delivery Clear communication throughout the project Customized solutions based on your requirements Post-delivery support How It Works: Share your project requirements Get a tailored plan and timeline Development & regular updates Testing and final delivery Note: Please contact me before placing an order to discuss your project details and ensure the best results. Let’s build something great together.

@karthikresonite

Hi, Resonite Technologies here — we have a senior Salesforce Data Cloud (Data 360) specialist (10+ yrs experience) with strong background in CDP, data engineering, and CRM integrations, ready to start immediately. Why we fit perfectly: ✔ 9+ yrs in Data Engineering + Salesforce ecosystem ✔ Hands-on Sales, Service & Marketing Cloud integrations ✔ 2+ yrs Salesforce Data Cloud (Data 360) implementation ✔ Strong in SQL, DMOs, Identity Resolution & Customer 360 models Our approach: • Design scalable Data Streams (batch & real-time) from Salesforce, APIs, S3, BigQuery • Build DMOs & unified customer profiles (Golden Records) • Implement Identity Resolution rules, matching & reconciliation • Create advanced segmentation (SQL + Calculated Insights) • Activate data into Marketing Cloud, Journey Builder & ad platforms • Automate pipelines, data quality checks & real-time personalization Governance & Security: ✔ GDPR/CCPA compliance, consent frameworks ✔ Secure PII handling & access controls Bonus expertise: ✔ AWS/GCP data pipelines, streaming frameworks ✔ Experience with CDPs like Segment / Adobe RT-CDP ✔ Strong collaboration with marketing & CRM stakeholders Availability: Immediate | Remote/Hybrid flexible Engagement: Contract or Full-Time We can lead architecture, implementation, and mentor teams while delivering a scalable Customer 360 platform. Let’s discuss your Data Cloud roadmap and start quickly.

@ixorawebmob

Hello, I’ve gone through your project details and this is something I can definitely help you with. I have 10+ years of experience in mobile and web app development, and while my expertise is primarily in mobile and web technologies, I also have a strong grasp of data engineering principles which can be advantageous for this project. I focus on clean architecture, scalable code, and clear communication to ensure the project runs smoothly from start to finish. I will first review your requirements, suggest the best technical approach for Salesforce Data Cloud, and then proceed with development while keeping you updated at every stage. I’m interested in your project and would love to understand more details to ensure the best approach. Could you clarify: 1. Do you have existing data models or should I create them from scratch? 2. What specific external systems do you plan to integrate with Salesforce Data Cloud? 3. Are there any specific data privacy regulations you are concerned about? 4. What is your expected timeline for completion? 5. Can you share more about your current data ingestion setup? Let’s discuss over chat! Could you clarify what specific external systems do you plan to integrate with Salesforce Data Cloud? Regards, Arpit Jaiswal

@rahulb058

With over 9 years of experience in the data engineering, CRM, and CDP domains - including more than 2 years working hands-on with Salesforce Data Cloud - I am a highly qualified candidate for your Salesforce Data Cloud Senior Developer position. Not only do I have strong technical expertise in SQL, data modeling, and API integrations that are vital for your project; but my skills in ETL/ELT pipelines and real-time streaming data perfectly align with the core activities required.

@nathanholmes

This project’s focus on building scalable ingestion pipelines and unified customer profiles within Salesforce Data Cloud highlights a crucial challenge: ensuring seamless real-time data integration across diverse systems while maintaining data quality. I suggest implementing modular data pipelines using a mix of batch and streaming ingestion frameworks combined with robust identity resolution rules to build accurate golden records efficiently. Automating data quality checks at multiple stages can help keep the profiles reliable and compliant with GDPR/CCPA requirements. With over nine years in data engineering and direct experience designing CDP solutions on Salesforce ecosystems, I’m confident in delivering a clean, scalable implementation. Open to discussing what would work best for you.

@aloks459

Hello, I have carefully reviewed your requirement for a Senior Salesforce Data Cloud (Data 360) Developer, and I believe I can contribute effectively to your project. I have strong experience in SQL, data modeling, and CRM systems, along with hands-on knowledge of building scalable data solutions. I understand how to design data ingestion pipelines (batch & real-time), create data models, and work with customer data platforms to build unified customer profiles. In my experience, I have worked on: - Writing advanced SQL queries for data transformation and segmentation - Designing efficient data models for performance and scalability - Integrating data from multiple sources using APIs and ETL processes - Automating workflows and ensuring data quality I am also familiar with Salesforce ecosystem concepts like Sales Cloud, Service Cloud, and Marketing integrations, and I understand customer journey and campaign activation processes. Even though I may not have 9+ years specifically in Salesforce Data Cloud, I am a fast learner and highly dedicated to delivering quality work. I can quickly adapt to your environment and contribute to building scalable and efficient data solutions. I am confident that my technical skills, problem-solving ability, and dedication make me a good fit for this role. I am available to start immediately and can commit to your timeline. Looking forward to your response. Thank you, Alok Singh

@hockfx

You need a Senior Salesforce Data Cloud Developer to design and implement scalable data solutions for unified customer profiles and real-time data activation. I will start by configuring Data Streams for both batch and real-time ingestion, ensuring seamless integration from Salesforce clouds and external systems like APIs and data warehouses. Next, I will design and implement Identity Resolution rules and optimize data models for performance, focusing on building Golden Records for accurate customer profiles. For segmentation, I will utilize SQL-based insights to create advanced customer segments and activate them across Marketing Cloud and Journey Builder for real-time personalization. Timeline: 4 days. Do you have existing data models or integration frameworks that I should consider while designing the solution?