MUMBAI · FULLTIME
Data Cloud Developer_Sercante_R190
NeuIQ
Mumbai · onsite · Posted 44d ago
Sourced from
Not disclosed5–7 yrsfulltimeMumbai
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Section · 01
About this role
Job Title: Data Cloud Developer
Location: Mumbai, India
Function: Tech Services
About NeuIQ: NeuIQ is an AI services partner; the Architects of the AI-Native GTM Enterprise. We engineer the data, workflows, and agents that turn enterprise go-to-market into compounding revenue, across Customer Experience, Sales & Revenue Operations, Customer Insights, and Marketing.
We are AI-native ourselves: we build with the tools we ship, and every role here works alongside AI - agents run inside our own discovery, integration, and QA workflows. You'll join a senior, high-leverage, multidisciplinary team - engineered to move at the scale of a much larger firm - led by entrepreneurs and operators who have navigated multiple technology waves, working with frontier models and best-in-class platforms at every layer of the enterprise stack, with startup speed and enterprise rigor.
Role Overview: You are the engine that turns complex data strategies into high-performing reality. As our Data Cloud Developer, you won't just execute tasks; you'll build the technical foundation that allows our clients to finally see a 360-degree view of their customers. We need your hands-on expertise to bridge the gap between architectural blueprints and live, scalable solutions that drive massive business impact.
Requirements What You Bring
Why NeuIQ - Five reasons candidates choose us
Location: Mumbai, India
Function: Tech Services
About NeuIQ: NeuIQ is an AI services partner; the Architects of the AI-Native GTM Enterprise. We engineer the data, workflows, and agents that turn enterprise go-to-market into compounding revenue, across Customer Experience, Sales & Revenue Operations, Customer Insights, and Marketing.
We are AI-native ourselves: we build with the tools we ship, and every role here works alongside AI - agents run inside our own discovery, integration, and QA workflows. You'll join a senior, high-leverage, multidisciplinary team - engineered to move at the scale of a much larger firm - led by entrepreneurs and operators who have navigated multiple technology waves, working with frontier models and best-in-class platforms at every layer of the enterprise stack, with startup speed and enterprise rigor.
Role Overview: You are the engine that turns complex data strategies into high-performing reality. As our Data Cloud Developer, you won't just execute tasks; you'll build the technical foundation that allows our clients to finally see a 360-degree view of their customers. We need your hands-on expertise to bridge the gap between architectural blueprints and live, scalable solutions that drive massive business impact.
Requirements What You Bring
- Technical Experience: 5+ years of proven success in Salesforce development and implementation, with a deep technical focus on Salesforce Data Cloud.
- Data Expertise: Hands-on mastery of data modelling within the Salesforce ecosystem, including DMO/DLO mapping and identity resolution rule sets.
- Integration Skills: Technical proficiency in SQL and Data Ingestion, with experience connecting Data Cloud to external platforms like Snowflake, BigQuery, or Amazon S3.
- Automation Mastery: Strong command of Salesforce automation, specifically using Flow and Apex to trigger actions based on unified profile changes.
- Problem Solving: A track record of technical problem-solving, with the ability to debug complex data streams and transformation logic independently.
- Credentials: Relevant certifications, such as Salesforce Data Cloud Consultant or Salesforce Strategy Designer, paired with a solid understanding of the Data Cloud lifecycle.
- Build and configure end-to-end Data Cloud solutions, from initial data-stream ingestion to final activation of segments.
- Transform raw data into actionable insights by writing calculated insights and mapping complex data schemas with precision.
- Collaborate closely with Architects to translate high-level solution designs into functional technical requirements and clean code.
- Own the technical health of the platform, ensuring data refreshes are seamless and identity resolution is performing at its peak.
- Develop powerful activations that push unified data to Marketing Cloud, Sales Cloud, or external endpoints to trigger real-time customer journeys.
- Stay ahead of the curve by experimenting with the latest Data Cloud releases (like Data Spaces or AI-driven features) to keep our clients at the cutting edge.
- Successfully integrated into assigned client projects and are consistently hitting your billable targets.
- Execute technical builds for Data Cloud implementations, ensuring 100% data accuracy and seamless system integration.
- Become a go-to technical expert for complex Data Cloud troubleshooting, recognized for your ability to turn messy data into a unified, high-value asset.
Why NeuIQ - Five reasons candidates choose us
- Work at the frontier, for real. No demo-ware, no pilots that die in the sandbox. You'll ship working agents into production - every one anchored to a measurable business outcome a client is counting on. Fourteen-plus client AI solutions shipped and counting.
- Become AI-native yourself. We invest in it deliberately - a structured AI training pathway that builds your capability, an AI hub that gives you a governed environment to build in, and an agent lab where your experiments become company assets. The transformation we sell to clients runs inside our own house first, starting with you.
- See the whole system, not a silo. Data, platforms, and AI are engineered as one system by one team - architects, data and AI engineers, integration and cloud specialists, designers, and QA in a single delivery model. You'll understand how the entire climb works, from raw signal to autonomous agent - the kind of end-to-end fluency most careers never offer.
- Work directly with operators, not layers below them. Our leadership team averages 20+ years of experience - entrepreneurs who have navigated multiple technology waves with a track record of customer and shareholder success - sharpened by an advisory board of senior industry executives across the four GTM functions. Here, proximity to that judgment is daily, not annual.
- Join a category being built - not maintained. Eighteen months ago, AI-Native GTM was a sentence in a deck. Today, anchor partners are staking their reputations on it publicly. Getting in while the category is being defined means your fingerprints end up on the foundation - and we treat Run as the destination, so what you build is what you'll see operate, compound, and matter.
Sourced from foundit
Section · 02
Skills
AutomationData Cloud lifecycleDLO mappingIdentity resolution rule setsDevelopmentData ingestiondata cloudamazon s3Data modellingbigqueryflowDMOApexSQLSnowflake