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Data Presales Architect | FINJO I981

Data Presales Architect | FINJO I981

Omni Recruit Private LimitedNoida, Uttar Pradesh, India
11 days ago
Job description

We are seeking a highly skilled and experienced professional to lead and support our data

warehousing and data centre architecture initiatives. The ideal candidate will have deep expertise

in Data Warehousing, Data Lakes, Data Integration, and Data Governance, with hands-on

experience in ETL tools and cloud platforms such as AWS, Azure, GCP, and Snowflake. This role

demands strong presales experience, technical leadership, and the ability to manage complex

enterprise deals across multiple geographies.

Role Data Presales Architect

Designation Associate Director

Experience 10-15 years, 5 days work from office

Location Greater Noida

Key Responsibilities

Architect and design scalable Data Warehousing and Data Lake solutions

Lead presales engagements, including RFP / RFI / RFQ lifecycle management

Create and present compelling proposals and solution designs to clients

Collaborate with cross-functional teams to deliver end-to-end solutions

Estimate efforts and resources for customer requirements

Drive Managed Services opportunities and enterprise deal closures

Engage with clients across MEA, APAC, US, and UK regions

Ensure alignment of solutions with business goals and technical requirements

Maintain high standards of documentation and presentation for client-facing materials

Skills & Experience

Certifications in AWS, Azure, GCP, or Snowflake are a plus

Experience working in consulting or system integrator environments

Strong knowledge of Data Warehousing, Data Lakes, Data Integration, and Data Governance

Hands-on experience with ETL tools (e.g., Informatica, Talend, etc.)

Exposure to cloud environments : AWS, Azure, GCP, Snowflake

Minimum 2 years of presales experience with an understanding of presales operating processes

Experience in enterprise-level deals and Managed Services

Proven ability to handle multi-geo engagements

Excellent presentation and communication skills

Strong understanding of effort estimation techniques for customer requirements.

Education Qualifications

Bachelors or Masters degree in Computer Science, Information Technology, or related field

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Data Architect • Noida, Uttar Pradesh, India

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