Solution Architect (Data & Analytics)

Dynatech Systems; Ahmedabad; Hybrid; INR 1,800,000 - 3,200,000; Full time

Job summary

Dynatech Systems is seeking an experienced Data Architect/Engineer to design end-to-end enterprise data solutions leveraging Microsoft Fabric, Azure Data Services, Databricks and Delta Lake. You will lead architectures, data modeling, security and governance while mentoring the data engineering teams.

You will also drive pre-sales activities, engage with stakeholders and deliver technical proposals for RFPs, ensuring alignment with business requirements and enterprise standards.

Qualifications

• 8+ years of experience in Data Engineering/Architecture.
• Hands-on with Azure Data Services.
• Experience with Microsoft Fabric, Databricks and Delta Lake.
• Strong SQL and Python skills.
• Working knowledge of dbt.
• Experience in Solution Architecture and end-to-end Data Engineering.
• Pre-sales, RFP and proposal experience.
• Excellent communication and stakeholder management.
• Experience in Healthcare, Manufacturing, or Finance.
• Experience mentoring and leading technical teams.

Responsibilities

• Design end-to-end enterprise Data Engineering solutions.
• Define architectures using Microsoft Fabric, Azure Data Services, Databricks, and Delta Lake.
• Design lakehouse and medallion architectures.
• Define data modeling, security, scalability and cost optimization.
• Provide technical direction and mentor Data Engineering teams.
• Lead technical solutioning for client requirements, RFPs and proposals.
• Conduct customer meetings, architecture workshops and technical presentations.
• Understand business requirements and recommend Data Engineering solutions.
• Prepare technical proposals, effort estimations and delivery approaches.
• Engage with business stakeholders and technical decision-makers.
• Guide and mentor Data Engineering teams.
• Review designs and resolve architectural challenges.
• Establish data governance, security and data quality practices.
• Ensure enterprise architecture standards and best practices.

Skills

Data engineering

Data architecture

Azure Data Services

SQL

Python

Solution architecture

Pre-sales / RFP

Stakeholder management

Mentoring teams

Customer engagement

Tools

Microsoft Fabric

Azure Data Services

Databricks

Delta Lake

dbt

Job description

Role & responsibilities

1. Solution Architecture & Delivery (50%)

• Design end-to-end enterprise Data Engineering solutions.
• Define architectures using Microsoft Fabric, Azure Data Services, Databricks, and Delta Lake.
• Design lakehouse and medallion architectures.
• Define data modeling, security, scalability, and cost optimization strategies.
• Provide technical direction and mentor Data Engineering teams.

2. Pre-sales & Customer Engagement (50%)

• Lead technical solutioning for client requirements, RFPs, and proposals.
• Conduct customer meetings, architecture workshops, and technical presentations.
• Understand business requirements and recommend appropriate Data Engineering solutions.
• Prepare technical proposals, effort estimations, and delivery approaches.
• Engage confidently with business stakeholders and technical decision-makers.

3. Technical Leadership & Governance

• Guide and mentor Data Engineering teams.
• Review technical designs and resolve architectural challenges.
• Establish data governance, security, and data quality practices.
• Ensure enterprise architecture standards and best practices.

Preferred candidate profile

• 8+ years of experience in Data Engineering and/or Data Architecture.
• Strong hands-on background in Azure Data Services.
• Good experience with Microsoft Fabric, Databricks, and Delta Lake.
• Strong understanding of SQL and Python.
• Working knowledge of dbt.
• Proven experience in Solution Architecture and end-to-end Data Engineering solutions.
• Strong pre-sales, solutioning, RFP, and proposal experience.
• Excellent customer engagement, communication, presentation, and stakeholder management skills.
• Experience in at least one of these industries: Healthcare, Manufacturing, or Finance.
• Experience mentoring and leading technical teams.