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Pre sales - Databricks / Qlik

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Onsite

Pre sales - Databricks / Qlik

WOW Softech

Pre sales - Databricks / Qlik

Skills

SQL QueriesData EngineeringDatabricksData AnalysisMachine LearningAI

21 days ago

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Important information


Contract type:

Permanent

Salary:

₹500,000 – ₹1,200,000 / year

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

6 October 2026

What they need


Presales - Databricks / Qlik Presales

Consultant Location: Andheri East , mumbai

Experience: 3-5 Years

Function: Presales / Solution Consulting

Role Overview

We are looking for an aggressive, result-oriented Databricks / Qlik Presales Consultant who can take ownership of customer engagements, understand business and technical requirements, lead discovery workshops, develop solution architectures, deliver compelling demonstrations and work closely with the Sales team to drive business growth.

The ideal candidate should be confident in customer and CXO-level conversations, possess strong knowledge of Databricks and/or Qlik, understand modern data architecture and be capable of translating complex customer requirements into compelling Data, Analytics and AI solutions.

Key Responsibilities

  • Engage with enterprise customers to understand business and technical requirements.
  • Conduct discovery calls and customer workshops.
  • Work closely with Sales teams to identify opportunities and develop technical solutions.
  • Design solution architectures around Databricks, Qlik, Data Engineering, Analytics and AI.
  • Prepare and deliver technical presentations and product demonstrations.
  • Develop POCs/POVs and support solution validation.
  • Prepare responses for RFPs, RFIs and technical proposals.
  • Translate customer business challenges into scalable data and analytics solutions.
  • Communicate solution value and business outcomes to CXO and senior stakeholders.
  • Collaborate with technical delivery teams to ensure proposed solutions are practical and scalable.
  • Support the complete presales lifecycle from discovery through proposal, presentation and closure.
  • Contribute to the growth and development of the Databricks presales practice in Western India.

Required Skills Presales

  • 35 years of experience in Presales / Solution Consulting / Sales Engineering.
  • Strong customer-facing and presentation skills.
  • Experience conducting discovery workshops.
  • Experience creating solution architectures and technical proposals.
  • Experience with POCs/POVs, demos, RFPs and RFIs.
  • Ability to work closely with Sales and Delivery teams.
  • Strong communication and stakeholder-management skills.

Technology

Strong experience in Databricks OR Qlik, with knowledge of:

  • Databricks Lakehouse • Data Engineering • Data Analytics • Data Platforms • Data Integration • ETL/ELT • BI and Analytics • Cloud Data Platforms • AI / ML concepts • Modern Data Architecture

Qlik experience may include:

  • Qlik Sense • Qlik Cloud • QlikView • Qlik Data Integration • Qlik Replicate • Qlik Compose Databricks experience may include: • Databricks Lakehouse • Delta Lake • Databricks SQL • Data Engineering • Apache Spark • Data Pipelines • Unity Catalog • Cloud-based data platforms

Candidate Profile

The ideal candidate is:

  • Hungry to win and result-oriented.

  • Comfortable interacting with CXO and senior business stakeholders.

  • Strong in customer discovery and solution positioning.

  • Technically capable of discussing modern data architecture.

  • Able to translate business requirements into technical solutions.

  • Comfortable presenting complex technical concepts in a simple business-oriented manner.

  • Equally comfortable speaking with business stakeholders and technical teams.

  • Interested in building and shaping a growing Databricks presales practice.

Preferred Background Candidates from the following backgrounds can be considered:

  • Databricks Presales • Qlik Presales • Data & Analytics Presales • Data Solution Consulting • BI Presales • Data Platform Presales • Cloud/Data Solution Consulting • Solution Architecture with strong presales exposure • Sales Engineering Data & Analytics

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