Data Architect

Job not on LinkedIn

🕒 August 5

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 28%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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CLIQHR Recruitment Services

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2012

💼 Consulting

📣 Marketing

🎯 Recruiter

Consulting • Marketing • Recruitment

CLIQHR Recruitment Services is a comprehensive recruitment agency based in India, specializing in a wide range of recruitment solutions including permanent, contract, executive, and overseas recruitment. They cater to businesses of all sizes from startups to established enterprises, offering services such as bulk hiring, remote team hiring, and recruitment process outsourcing. Their team is known for using modern technology to ensure efficient recruitment processes and providing quality candidates for their clients. Additionally, CLIQHR is recognized for its integrity, confidentiality, and professionalism in matching the right talent with businesses across various industries.

📋 Description

• Design scalable, secure, and highly available enterprise data architectures • Architect, implement, and optimize PostgreSQL, MongoDB, Elasticsearch, and Graph Databases • Lead database modernization, migration, and transformation initiatives across enterprise platforms • Build and manage cloud-native data platforms using Snowflake, Amazon Redshift, Databricks, and AWS, Azure, or GCP • Define enterprise data models, governance frameworks, security standards, and data lifecycle management practices • Optimize database performance, scalability, replication, backup, disaster recovery, and high availability • Design data platforms supporting AI, Machine Learning, Generative AI, and Large Language Model workloads • Collaborate with Engineering, Product, Data Science, and DevOps teams • Establish best practices for data architecture, database design, performance optimization, and security • Ensure compliance with enterprise data governance, regulatory, and security requirements • Evaluate emerging data technologies and recommend improvements to the organization's data ecosystem

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field • 10+ years of experience in Data Architecture, Database Engineering, or related roles • Strong expertise in PostgreSQL, MongoDB, Elasticsearch, and Graph Databases • Hands-on experience with Snowflake, Amazon Redshift, Databricks, and AWS, Azure, or Google Cloud Platform (GCP) • Proven experience in enterprise-scale database migration, modernization, architecture design, and performance tuning • Strong knowledge of data modeling, distributed database systems, governance, security, compliance, and data lifecycle management • Experience building data platforms supporting AI, Machine Learning, Generative AI, and Large Language Model (LLM) applications is highly desirable • Strong understanding of cloud-native architecture, data warehousing, and big data technologies • Excellent analytical, troubleshooting, communication, and stakeholder management skills • Cloud, database, or data architecture certifications are an added advantage