Senior Data Consultant salesforce

InterviewGIG; Gurugram District; On-site; INR 1,800,000 - 2,500,000; Full time

Job summary

A leading company is seeking a Data Consultant to drive data governance and architecture projects. The successful candidate will have over 6 years of experience in data management, data quality, and integration, specifically focusing on Salesforce.com and related technologies. Responsibilities include eliciting data requirements, conducting data audits, and leading architectural discussions within projects. The role requires strong mentorship and team handling skills.

Qualifications

• Candidates should have at least 2 years of experience in Salesforce.com.
• Solid experience with ETL tools.
• Experience with data architecture and governance.

Responsibilities

• Eliciting data requirements and translating them into solutions.
• Data modeling for Salesforce.com projects.
• Conducting data audits and cleansing projects.

Skills

Data Governance

Data Quality

Data Integration

Data Architecture

PL/SQL

Relational Databases

Data Migration

Data Modeling

Business Intelligence

Salesforce.com

Tools

SSIS

Boomi

Informatica Power Centre

Mulesoft

Tableau

Qlik

Salesforce Analytics

SF Data Loader

Job description

Requirements

• 6+ years’ experience working on complex data projects including migrations, integrations, data architecture and data governance
• Ability to convert high-level requirements into a solution – i.e. you do not need a detailed specification to be successful
• Solid experience with an ETL any of the mentioned tools (ex. SSIS, Boomi, or Informatica Power Centre, Mulesoft)
• Experienced technology leader with extensive Data Quality, Data Management, Data Security, Data Governance skills
• Proficient with PL/SQL query writing and strong relational database background/understanding.
• Basic Understanding of DBamp.
• Experience on SF Data Loader and writing SOQL is an asset.
• Should expose himself as SME in Migration tools.
• Experience with BI tools like Tableau, Qlik, Salesforce Analytics is an asset
• Experience with master data management projects and practices is an asset.
• Candidates should have about at least 2 years of experience in Salesforce.com and should have a thorough understanding of the Salesforce.com project lifecycle.
• The Candidate should have good organizational and customer service skills so that the clients are happy with the working of the organization.
• A strong knowledge of enterprise analytics, big data platforms, data exchange models, CRM, MDM, and cloud integration is preferred.
• Data modeling experience; specifically designing logical models/data dictionaries from business requirements
• Applicants should be able to give Architectural/Design insight in the project if required.
• Implementation experience and domain knowledge in Salesforce Sales and Service functionality and any of the following multiple CRM subject areas.
• Excellent Mentorship and team handling skills.
• Excellent Troubleshooting Skills.
• Good understanding of Internet technologies: firewalls, web servers, web proxy servers, etc.

Responsibilities of a Data Consultant

• Eliciting data requirements during business solution design sessions and translating these into a solution
• Data modelling for custom salesforce.com projects/functionality
• Provide data governance thought leadership to clients so that they can manage and use their data to its fullest
• Conducting data audits, cleansing and de-deduplication projects to clean data
• Conducting analysis of customer data to identify key predictors of activity: from lead management through to forecasting
• Developing ETL processes for data migration and integration projects.
• Own and aggressively drive forward specific areas of technology architecture. Provide architectural solutions/designs to project execution teams for implementation.
• Lead projects within architecture. Work with Product Owner/Business Analysts to understand functional requirements and interact with other cross-functional teams to architect, design, develop, test, and release features.