Data & AI Architect

About Us:

At Parkar, we are redefining cloud transformation with the power of Microsoft Azure and AWS platforms. Our commitment to aligning with industry-leading cloud technologies enables us to deliver tailored, best-in-class solutions that drive tangible results for our clients.

With over a decade of experience and more than 100 enterprise engagements across diverse industries, we specialize in empowering businesses to innovate and scale. From AIOps to Generative AI and advanced Machine Learning, our expertise spans the technologies that shape tomorrow’s enterprises.

As a Microsoft Gold Partner, we boast over 125 Azure certifications and a track record of 400+ successful projects powered by our team of 200+ skilled engineers. Whether it’s data analytics, DevOps automation, or application development, Parkar is dedicated to achieving each client’s unique transformation goals with agility, precision, and a relentless pursuit of excellence.

Vector is our flagship platform, built on the latest in IT and AI technology to empower organizations to work smarter and stay ahead in a fast-changing digital world. It streamlines digital operations with intelligent automation and seamless cloud integration. With features like real-time monitoring, early problem detection, and scalable flexibility, Vector helps reduce costs, boost reliability, and drive continuous innovation.

For more info., Visit our website: https://parkar.in

Role Overview:

We are seeking experienced Data & AI Architects / Engineers to join our global Architecture & Technology department. These roles are at the core of building and scaling our Common Data Platform (CDP), which is based on Microsoft Azure technologies including Databricks, Data Factory, Azure Foundry, and Power BI. The CDP forms the foundation for all data and AI use cases across functions and regions.

The team’s mission is to design and deliver strategic and cutting-edge data and AI solutions that combine established best practices with emerging technologies. The ideal candidate is able to link conventional data concepts (dimensional modelling, CI/CD, programming, data science, and business processes) with next-generation GenAI and agentic orchestration capabilities, ensuring that the platform and solutions are both future-proof and business-relevant.

Responsibilities:

• Architect and implement scalable data pipelines, models, and services using Azure Databricks, Azure Data Factory, Azure Foundry, and ADLS
• Establish and enforce standards for ingestion, transformation, governance, and storage across the CDP (Common Data Platform)
• Apply strong modelling and solutioning skills to design reusable data models and artifacts for global use cases.
• Bridge traditional and modern data practices, including:
• Dimensional modelling and relational concepts
• Programming and CI/CD for data pipelines and models
• Data science and applied machine learning processes
• GenAI and agentic orchestration (designing autonomous agents, orchestrating multi-step AI workflows, and integrating them with enterprise systems and APIs)
• Collaborate with business stakeholders and domain experts to design solutions that generate measurable value

• Support strategic initiatives and cutting-edge projects by providing architectural guidance and technical solutions
• Translate complex technical requirements into solution designs with clear business impact

Requirements:

• 10+ years of experience in data architecture, with a strong focus on Databricks, PySpark, SQL, and Power BI.
• Bachelor’s/master’s in computer science, Data Engineering, AI, or related field
• 5+ years in data architecture or engineering roles with proven delivery in enterprise environments
• Deep expertise with Azure Databricks, Azure Data Factory, Azure Foundry, Power BI (or similar reporting tools)
• Strong experience in data modelling, dimensional modelling, CI/CD for data, and programming (SQL, Python, etc.)
• Knowledge of data science processes, machine learning, and advanced analytics
• Familiarity with GenAI, LLMs, and agentic orchestration and how they complement conventional architectures
• Strong collaboration skills with the ability to link business requirements with technology design
• Strong team player – collaborates effectively across global and cross-functional teams, builds trust, and contributes to shared success
• Ownership and getting-things-done mindset – takes initiative, drives outcomes independently, and delivers secure results in a fast-paced environment
• Fluent in English