4 Metadata modeling Jobs in India

Responsibilities :-

● Design and develop new functionality for product using Apex, Lightning Web Components (LWC), JavaScript, SOQL, Salesforce APIs, metadata, and platform services.

● Build reusable, scalable product capabilities intended to serve many enterprise customers rather than customer-specific implementations.

● Contribute to product architecture and long-term technical design decisions.

● Work within an established commercial product codebase and help evolve it across releases.

● Consider upgradeability, backward compatibility, packaging, maintainability, performance, security, and customer-org variability as part of normal product development.

● Work on complex product areas including project scheduling, resource and capacity planning, workflow orchestration, project financials, and enterprise user experiences.

● Use AI-assisted development tools for solution design, coding, testing, debugging, refactoring, and documentation.

● Review and validate AI-generated implementations and identify when an approach is technically incorrect, insecure, non-scalable, or inappropriate for the Salesforce platform.

● Help design and build AI agents and intelligent capabilities directly into the Leankor product.

● Develop AI capabilities that can understand project context, analyze data, identify risks and opportunities, recommend actions, and automate appropriate work.

● Help define guardrails, permissions, validation, and human approval processes for AI-driven actions.

● Troubleshoot complex issues across the UI, application logic, data model, integrations, AI services, and Salesforce platform.

● Collaborate with Product, Architecture, UX, QA, and other engineering team members.

Qualifications

● 8+ years of professional software development experience preferred.

● 3–5+ years of hands-on Salesforce development experience strongly preferred.

● Strong experience with Apex and Lightning Web Components.

● Experience developing complex enterprise applications or commercial software products

● Prior experience working in a software product company strongly preferred

● Experience owning functionality across multiple releases rather than delivering isolated project implementations.

● Strong knowledge of software architecture, design patterns, debugging, testing, security, performance, and maintainability.

● Experience with Salesforce data modeling, APIs, security and sharing, asynchronous processing, and platform limits

● Experience with Git, source control, automated testing, and modern CI/CD practices

● Practical experience using AI-assisted software development tools.

AI Experience

Experience with several of the following is highly desirable:

● Large Language Models (LLMs) ● AI agents and agentic workflows

● Tool/function calling ● Prompt and context engineering ● Structured model outputs

● Retrieval-Augmented Generation (RAG) ● AI evaluation and guardrails

● Human-in-the-loop workflows

● Salesforce Agentforce or related Salesforce AI technologies Prior Agentforce experience is beneficial but not required.

Preferred Experience

● Salesforce ISV or AppExchange product development

● Managed-package development

● Experience building and maintaining a commercial Salesforce-native product

● Complex reusable Salesforce-native applications

● High-volume Salesforce architectures

● Enterprise project, work management, scheduling, or resource-management software

● Salesforce Service Cloud, Field Service, Experience Cloud, or Sales Cloud. Experience building a commercial Salesforce product is highly desirable. Candidates from consulting or services backgrounds will be considered where they can clearly demonstrate significant ownership of reusable product development, product architecture, and long-term

software evolution.

SHARE YOUR RESUME : { pavithra.e @vysystems.com },

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Job Description – Data / Metadata Engineer

Position

Data / Metadata Engineer

Location

Pune

Experience

• 6–9 Years: Up to 28 LPA
• 10–17 Years: Up to 32 LPA

Notice Period

Immediate to 15 Days Joiners Preferred

Role Overview

We are looking for an experienced Data / Metadata Engineer with strong expertise in Data Engineering, Metadata Management, Data Modeling, Cloud technologies, Python/PySpark, and ETL/Data Pipelines.

The ideal candidate should have hands-on experience designing and developing data solutions, working with metadata and data models, and building scalable data pipelines on cloud platforms.

Mandatory Skills

• Strong experience in Data Engineering
• Hands-on experience in Metadata Management / Metadata Engineering
• Strong understanding of Data Modeling
• Experience with DDL and ER/Data Modeling
• Experience with Cloud technologies – Any Cloud Platform
• Strong programming experience in Python or PySpark
• Experience with ETL processes and Data Pipelines
• Good understanding of data architecture and data integration concepts

Key Responsibilities

• Design, develop, and maintain scalable data engineering solutions.
• Develop and manage data pipelines and ETL workflows.
• Work with metadata and data cataloging concepts.
• Create and maintain data models, DDLs, ER diagrams, and database structures.
• Develop data processing solutions using Python or PySpark.
• Work with cloud-based data platforms and services.
• Collaborate with Data Architects, Data Engineers, Developers, and Business teams.
• Ensure data quality, consistency, availability, and reliability across data pipelines.
• Troubleshoot and optimize existing data pipelines and data processes.
• Follow best practices for data engineering, modeling, and cloud-based implementations.

Candidate Profile

• Strong experience in Data Engineering + Metadata + Data Modeling.
• Good hands-on experience with Python/PySpark and ETL/Data Pipelines.
• Experience working with any major cloud platform.
• Strong understanding of databases, data structures, and data modeling concepts.
• Candidates who can join immediately or within 15 days are preferred.

Job Details

Role: Data / Metadata Engineer

Location: Pune

Experience: 6–17 Years

Budget: 28 LPA (6–9 Yrs) / 32 LPA (10–17 Yrs)

Notice Period: Immediate to 15 Days

Years of Exp: 5 to 8 Years (Relevant 5+ Years)

Location: Hyderabad

Notice Period: Immediate to 20 days

Offshore: Data Governance Analyst

Position Summary

Execute day-to-day Data Governance activities for RTB initiatives under the direction of the Onshore Lead. The role will focus on producing accurate, complete, and traceable governance artifacts that support enterprise standards, control requirements, and audit readiness.

Key Responsibilities

Register and maintain data assets, reports, and data products in Collibra and Data Marketplace.

Capture and validate business, technical, and operational metadata.

Document end-to-end data lineage, including sources, targets, transformations, and data movement.

Support business glossary, data classification, ownership, stewardship, and authoritative source documentation.

Assist with data quality rule documentation, issue tracking, and remediation follow-up.

Coordinate with data owners, engineers, architects, and application teams to resolve documentation gaps.

Maintain governance evidence, decisions, status reports, and action items.

Track work through Jira and escalate blockers promptly to the Onshore Lead.

Support multiple RTB workstreams while meeting established quality and delivery expectations.

Required Qualifications

Experience in Data Governance, Data Management, metadata management, lineage, or data quality.

Working knowledge of Collibra or a comparable governance platform.

Understanding of data warehousing, data modeling, ETL/data pipelines, and system-to-system data flows.

SQL proficiency and familiarity with cloud data platforms, preferably Snowflake.

Strong analytical, documentation, communication, and organizational skills.

Ability to work effectively in an onshore-offshore delivery model.

Preferred Qualifications

Experience with Collibra or similar Data Governance Platforms, Jira, Confluence, Cloud Data Solutions, Excel

Financial-services or regulated-industry experience.

Familiarity with Agile delivery and audit or regulatory documentation.

Role: Senior Technical Consultant

Schedule: Fully Remote but requiring working in EDT Zone (Second shift work till 12:30 AM IST)

Benefits: Cell-Phone Reimbursement, Food Allowance, Internet Allowance, Commute Allowance

Company:

Upland Software (Nasdaq listed) is a leader in AI-powered knowledge and content management software. Our solutions help enterprises unlock critical knowledge, automate content workflows, and drive measurable ROI—enhancing customer and employee experiences while supporting regulatory compliance. More than 1,100 enterprise customers rely on Upland to solve complex challenges and provide a trusted path for AI adoption.

Job Description

Opportunity Summary:

We are seeking an experienced Senior Technical Consultant to join our India-based Center of Excellence team. This role demands both technical depth and customer presence—someone who thrives under pressure, communicates clearly, and solves complex integration and troubleshooting challenges in real time, often while collaborating directly with customers on live calls.

What would you do?

· Customer Engagement & Solutioning

o Lead and participate in technical meetings with enterprise customers, including troubleshooting sessions and go-live support calls.

o Translate complex technical details into language understandable by both technical and non-technical stakeholders.

o Calmly manage tense situations and help de-escalate when technical issues or deadlines create pressure.

· Technical Implementation & Integration

o Configure, integrate, and optimize BA Insight connectors with systems such as SharePoint, FileNet, iManage, and other enterprise repositories.

o Utilize REST APIs and scripting (C#, PowerShell, or similar) to implement or extend integration logic.

o Troubleshoot complex issues across multi-tier environments including application servers, connectors, indexing services, and authentication systems.

o Support orchestration pipelines that prepare data (chunking, metadata tagging, indexing) for LLM/AI consumption.

· Cross-Functional Collaboration

o Work closely with Project Managers, Solutions Consultants, and Support to ensure project milestones are met.

o Partner with Product and R&D to identify defects, suggest enhancements, and test new connector functionality.

o Support Sales and Customer Success teams in technical scoping discussions and feasibility assessments.

· Documentation & Process Discipline

o Maintain detailed technical documentation and logs of customer work.

o Track time and deliverables accurately using internal project management and time-tracking tools.

o Follow established PS methodology and internal QA/SDLC standards.

What are we looking for?

· Minimum 4–6 years of experience in a technical consulting, support engineering, or implementation role within a SaaS or enterprise software company.

· Experience with enterprise content management or search-based applications (e.g., SharePoint, iManage, OpenText, Documentum, Elastic, Solr) strongly preferred.

· Prior exposure to AI or data orchestration workflows a plus (chunking, vectorization, or integration with LLMs).

Primary Skills:

The candidate must possess the following primary skills:

Core Engineering & Development

· Strong proficiency in scripting and automation (Python, PowerShell, etc.)

· Solid experience with APIs, integrations, and data pipelines

· Ability to design and implement scalable, reusable solutions

Enterprise Search (Hands-On)

· Practical experience with:

· Indexing pipelines and ingestion workflows

· Metadata modeling and enrichment strategies

· Relevance tuning and search optimization

· Ability to diagnose issues related to:

o Missing content

o Poor ranking

o Incorrect search results

AI & Copilot Troubleshooting (Critical Skill)

· Hands-on experience or strong capability to troubleshoot:

· Microsoft Copilot / AI search issues

· Data grounding problems (AI not finding the right content)

· Permissions and access-related issues

· Microsoft Graph / Search indexing gaps

· Strong understanding of:

o Retrieval-Augmented Generation (RAG) concepts (high level)

o How AI depends on data quality, structure, and access

Enterprise Platform Experience

· Hands-on experience with one or more:

· Microsoft ecosystem (SharePoint, OneDrive, Graph, Copilot)

· Salesforce, ServiceNow, or similar enterprise systems

· Understanding of authentication (SSO, OAuth) and access models

Advanced Troubleshooting & Problem Solving

· Ability to diagnose cross-system issues (AI + search + data source)

· Strong root cause analysis skills across:

o Data

o Integration

o Platform configuration

Delivery & Ownership

· Ability to work independently on deployments and complex issues

· Experience in customer-facing or delivery environments

· Capability to guide/mentor junior engineers

Soft Skills

· Fast learner capable of mastering complex products and customer environments quickly

· Self-starter who can manage multiple projects with minimal supervision

· Team-oriented mindset with strong empathy for customers and colleagues

· Passionate about connecting enterprise data with AI to drive intelligent outcomes

· Exceptional troubleshooting and analytical abilities

· Passionate about delivering an amazing customer experience

· Able to have a change of mind, and able to change the minds of others

· Writes clearly and concisely

· Capable of working without a company office, with a fully remote team

Growth Skills

· Possesses a good work ethic; a self-starter with a desire to grow

· Always looking for better ways to get the job done

Work Schedule

· As Mentioned above.

· Flexibility to alternate schedules with other CoE Project Managers to ensure consistent U.S. coverage.

Qualification

Bachelor’s degree or technical institute degree/certificate in Computer Science, Information Systems, or other related field or equivalent combination of knowledge and experience. This role requires overlap with multiple time zones for planning meetings, status updates etc. on a regular basis. The duration of these overlaps can change depending on the type of meeting. Upland India has the flexibility to manage your working hours accordingly to help in your work-life balance. You can find out more about this during your interview conversation.

About BA Insight

Upland BA Insight is an enterprise search and AI orchestration platform that connects knowledge across systems like SharePoint, FileNet, iManage, Jira, and Documentum. Our technology enables intelligent search and data orchestration pipelines that prepare content for use with AI models such as ChatGPT, Microsoft Copilot, and Azure OpenAI.