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Data Architect
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Data Architect

Akanksh Gupta's profile picture
Posted by Akanksh Gupta
11 - 16 yrs
₹45L - ₹55L / yr
Bengaluru (Bangalore), Noida
Skills
Data architecture
Azure cloud
databricks
snowflake
Data modeling
Data engineering

About the Role: 

 

We are looking for a Data Architect with a strong background in data engineering & cloud data platforms. The ideal candidate will design and implement scalable data architectures that power enterprise analytics, AI/ML, and GenAI solutions — ensuring data availability, quality, and governance across the organization. 

 

Key Responsibilities: 

 

Data Architecture & Strategy 

  • Design & Architecture: Design and implement robust, scalable, and optimized data engineering solutions on the Databricks platform. Architect data pipelines that scale efficiently and reliably. 
  • Data Pipeline Development: Develop ETL/ELT pipelines leveraging Databricks notebooks, Delta Lake, Snowflake tech stack, Azure Data Factory etc.  
  • Cloud Integration: Work closely with cloud platforms like Azure, AWS, or GCP to integrate Databricks or Snowflake with data storage (e.g., ADLS, S3, etc.), databases, and other services. 
  • Performance Optimization: Optimize the performance of data workflows by tuning Databricks clusters, improving query performance, and identifying bottlenecks in data processing. 
  • Collaboration: Collaborate with data scientists, analysts, and business stakeholders to understand business requirements and translate them into scalable data solutions. 
  • Data Governance & Security: Ensure best practices for data security, governance, and compliance when working with sensitive or large datasets. 
  • Automation & Monitoring: Automate data pipeline deployments and create monitoring dashboards for ongoing performance checks. 
  • Continuous Improvement: Stay up to date with the latest Databricks features and Snowflake eco system best practices to continuously improve existing systems and processes. 

 

Required Skills & Experience: 

 

  • 12+ years of experience in Data Architecture / Data Engineering roles.  
  • Proven expertise in data modeling, ETL/ELT design, and cloud-based data solutions (AWS Redshift, Snowflake, BigQuery, or Synapse). 
  • Hands-on experience with data pipeline orchestration tools (Airflow, DBT, Azure Data Factory, etc.). 
  • Proficiency in Python, SQL, and Spark for data processing and integration. 
  • Experience with API integrations and data APIs for AI systems. 
  • Excellent communication and stakeholder management skills. 


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About JK Technosoft Ltd

Founded :
1995
Type :
Services
Size :
1000-5000
Stage :
Profitable

About

JK Tech is a specialized Gen AI and Data consulting firm, leveraging deep domain expertise in Retail, CPG, and Insurance to create tailored solutions for our clients. Our innovative Gen AI accelerators, branded as JIVA, address critical challenges like Accuracy, Security, and Scalability, enabling enterprises to accelerate their journey from POC to production. We combine structured and unstructured data with advanced AI technologies, helping clients unlock actionable insights and drive meaningful outcomes. As a strategic partner of Google Cloud and other industry leaders, JK Tech delivers cutting-edge solutions that empower businesses to stay ahead in a competitive market. At JK Tech, we are dedicated to transforming data into a powerful asset for growth and success. Connect with us to explore how we can help your organization thrive.
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