Data Architect.

Job Title: Data Technology Architect (GenAI & Cloud Data Platforms)

Company: JKT
Location: HSR Layout
Work Model: Hybrid (2 days office, 3 days remote)
Experience: 10–14 Years (3–4 years as an architect)

Position Overview

JKT is seeking a hands-on data technology architect to design, build, and scale modern data platforms integrated with GenAI capabilities. This is a high-impact individual contributor role requiring strong expertise in data engineering, cloud-native architectures, and AI integration, along with hands-on coding responsibilities.

Key Responsibilities

1. Data Architecture & Platform Engineering

• Design and implement enterprise-grade data platforms for analytics, AI/ML, and GenAI use cases

• Build and optimize ETL/ELT pipelines for structured, semi-structured, and unstructured data

• Architect real-time and batch data processing systems using modern data stack tools

• Ensure scalability, performance, and cost optimization

2. GenAI & AI Integration

• Design and implement data platforms integrated with GenAI systems

• Build pipelines for prompt engineering workflows, vector databases, and model training data

• Enable data readiness for AI/ML and LLM-based applications

• Collaborate with AI/ML teams to operationalize GenAI-driven solutions

3. Cloud & Infrastructure

• Architect and deploy cloud-native solutions across AWS, GCP, and Azure

• Work with services such as AWS (S3, Redshift, EMR, Glue, Lambda), GCP (BigQuery, Composer), and Azure (ADF, Databricks, Synapse, ADLS)

• Implement secure, scalable, and resilient architectures

• Apply Infrastructure as Code (IaC) and automation best practices

4. Data Engineering & Modern Stack

• Hands-on experience with Databricks and Snowflake (mandatory)

• Build large-scale distributed data processing systems

• Implement data modeling, transformation, and profiling techniques

• Ensure data quality, lineage, and governance

5. Coding & Hands-On Development

• Strong proficiency in Python (mandatory)

• Contribute to backend development, data pipelines, and API integrations

• Actively build solutions, not just design or review

6. Stakeholder & Delivery Management

• Collaborate with business stakeholders, product teams, and engineering teams

• Translate business requirements into scalable technical solutions

• Drive end-to-end ownership from design to deployment

Required Skills & Qualifications

• 10–14 years of experience in Data Engineering / Data Architecture / Cloud Engineering

• 3–4 years of experience as a Data/Cloud Architect

• Strong expertise in Databricks and Snowflake

• Hands-on experience in multi-cloud environments (AWS, GCP, Azure)

• Experience building data platforms integrated with GenAI

• Strong understanding of distributed systems and scalable architectures

• Proficiency in Python, SQL, and Spark

• Experience with data governance, security, and compliance frameworks

Preferred Profile

• Experience with GenAI implementations in production environments

• Strong Data Engineering or Cloud Engineering background

• Experience building end-to-end data and AI platforms

• Hands-on architect with a builder mindset

• Cloud certifications (AWS, GCP, Azure) preferred

Interview Process

• Round 1: Technical discussion with Solution Architect

• Round 2: Advanced technical and architecture round with Senior Solution Architect

• Final Round: Face-to-face (if required)

Additional Hiring Notes

• Candidates currently at ₹30–35 LPA can expect strong growth

• 100% hikes will not be considered

• Immediate joiners or candidates with up to 30 days notice period preferred