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Role Summary We are looking for a highly experienced Senior Technical Consultant Data Services to support our growing Data & Analytics practice. This is a customer-facing role focused on Presales, Data Solution Consulting, Data expertise, Account Growth, and Technical Advisory. The ideal candidate will work closely with Sales, Delivery, and Customer Success teams to understand client business challenges, design scalable data solutions, conduct technical discussions, support proposals, and identify opportunities for cross-selling and upselling Data Services within existing customer accounts. This role requires an excellent blend of technical expertise, business consulting, and communication skills. Key Responsibilities Presales & Solution Consulting Lead discovery workshops and technical discussions with customers. Gather and analyze business requirements. Design scalable data architecture and solution approaches. Prepare solution documents, effort estimations, proposals, and Statements of Work (SOW). Participate in RFP/RFI responses and technical presentations. Conduct product demonstrations, Proof of Concepts (POCs), and solution walkthroughs. Work closely with Sales teams throughout the sales lifecycle. SQL & Data Consulting Provide deep technical consulting around SQL Server, Azure SQL, Synapse Analytics, Microsoft Fabric, Snowflake, Databricks, and modern data platforms. Analyze existing database environments and recommend modernization strategies. Design Data Warehouses, Data Lakes, Lakehouse architectures, ETL/ELT pipelines, and reporting solutions. Guide customers on data modeling, performance tuning, governance, and best practices. Recommend optimal reporting and analytics solutions using Power BI and Tableau. Customer Success & Account Growth Build trusted relationships with existing customers. Regularly engage with client stakeholders to understand evolving business needs. Identify opportunities for: Cross-selling additional Data Services Upselling existing engagements Modernization initiatives Cloud migration Managed Services AI & Analytics opportunities Collaborate with Account Managers to grow strategic customer accounts. Present technology roadmaps and digital transformation recommendations. Technical Leadership Act as a trusted technical advisor during customer engagements. Review solution designs and provide architectural guidance. Mentor delivery teams on technical best practices. Ensure proposed solutions align with customer goals and industry standards. Support project transition from Presales to Delivery. Sales Enablement Create reusable solution accelerators and proposal templates. Develop case studies, capability presentations, and technical collateral. Support marketing initiatives such as webinars, blogs, and technical sessions. Enable sales teams with technical knowledge and competitive positioning. Required Technical Skills Strong expertise in SQL Server (Mandatory) Advanced SQL Query Optimization and Performance Tuning Database Design and Data Modeling ETL/ELT Concepts Microsoft Fabric Azure Data Factory Azure Synapse Analytics Power BI Microsoft SQL Server Azure SQL Database Snowflake Databricks Azure Data Lake Data Warehouse Design Lakehouse Architecture Business Intelligence Modern Data Platform Architecture Required Soft Skills Excellent English verbal and written communication skills. Strong presentation and client-facing consulting abilities. Ability to confidently engage with CXOs, Business Stakeholders, and Technical Leadership. Strong stakeholder management and relationship-building skills. Excellent analytical and problem-solving capabilities. Ability to independently lead customer discussions and solution workshops. Comfortable working in a fast-paced consulting environment. Willingness to support late evening/night client meetings to overlap with US time zones. Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. Microsoft Azure certifications are preferred. Microsoft Fabric, Power BI, Snowflake, or Databricks certifications are an added advantage. Preferred Experience 814 years of experience in Data Engineering, Business Intelligence, or Analytics Consulting. Experience in IT Services or Consulting organizations. Proven experience supporting Presales and Solution Architecture. Experience working with US-based customers. Strong understanding of modern Data Platform and Cloud Analytics solutions. Key Success Metrics High-quality presales support resulting in improved proposal win rates. Successful technical solutioning for new and existing customers. Growth through cross-sell and upsell opportunities within existing accounts. Customer satisfaction and trusted advisor relationships. Timely delivery of proposals, estimations, and technical documentation. Contribution to sales enablement .
Most are in India and the US. Here's how to pick the right one for you.
74.689Jobs
17.483IN
79%EN
WorkMundi's database shows 74,689 open sales positions globally. India leads with 17,483 jobs, followed by the US with 13,876. If you're open to geography, you have real options — but the sheer number means you need a filter. Don't apply to everything. Pick a country, a company size, and a sales model that matches what you actually want to do.
Almost 8 in 10 of these ads have their text written in English. That's useful for reading the job description and understanding what you're signing up for. But it tells you nothing about whether the role requires you to speak English with customers, partners, or your team. Ask the hiring manager directly during your first conversation.
The employers posting the most are boxlunch, SIMPLE RECRUIT, FlexBoard, and tmobile. If you see their name on a listing, you know they're actively hiring. That can work in your favor — high-volume recruiters often move faster. But volume also means competition. Your application needs to stand out.
Sales interviews almost always include a version of this: 'Tell me about a time you lost a deal. What did you learn?' Prepare a real story where you take ownership of what went wrong and what you'd do differently. Hiring managers want to see you learn, not just win.