DataBase Architect

Designation: Data Architect

Reporting: VP, Engineering

Desired Experience: 12 – 18 Years

Qualification: BE/ B Tech/ M Tech/ MCA and any Graduate.

Job Location: Noida Sec-6 (Nearest Metro Station 15)

(WFH/Work from Home Available)

Total Employees: 100+ Members

Working Days: Monday to Friday

Key Responsibilities

• Define, own, and evolve the enterprise data architecture
• Design scalable, secure, high-performance end-to-end data platforms
• Establish data modeling standards (conceptual, logical, physical)
• Act as architectural authority for data pipelines, APIs, and integrations
• Ensure platform design meets security, compliance, availability, and cost-efficiency standards
• Define and enforce data governance, data quality, metadata, lineage, and master data principles
• Collaborate with Data Engineers for implementation of architecture designs
• Align data architecture with product roadmaps and business priorities
• Define standards for data sharing, data products, and external data exposure
• Contribute to long-term data platform roadmap and technology adoption
• Support leadership with architecture reviews and strategic decisions

Required Experience & Technical Expertise

Experience

• 12+ years in Data domain
• 3–5 years as Data Architect / Lead Data Role
• Experience designing enterprise-scale data platforms

Data Architecture & Modeling

• Deep expertise in Data Modeling & Data Warehousing
• Advanced SQL knowledge
• Strong experience with Snowflake & modern cloud data stacks
• Experience with relational and cloud-native databases

Security & Compliance

• Knowledge of Data Security (Dynamic Masking, Row-Level Security, Access Control)
• Strong understanding of GDPR & Data Privacy regulations

Integration & Engineering

• Experience with streaming & event-driven architectures
• APIs & integration patterns (REST, event-based systems)
• Familiarity with CI/CD, DevOps & Infrastructure-as-Code in data environments
• Architecture reviews & technology evaluations

Key Technical Skills (Must Have)

• Snowflake
• Matillion (or equivalent data integration tools)
• Python
• SQL
• REST APIs & Event-driven integrations
• Power BI / Qlik / Tableau
• Experience with CRM / Marketing Automation / PIM platforms
• Agile & Continuous Delivery practices

Personal Skills

• Strong architectural mindset with focus on scalability
• Collaborative leadership ability
• Analytical and business-oriented thinking
• Strong communication skills (technical & non-technical stakeholders)
• Proactive, autonomous, and accountable

Why Join Us?

• Work with best-in-class data & cloud technologies
• Influence core data architecture of a global digital platform
• Strong engineering culture focused on ownership & quality
• Hybrid work model (mostly remote)
• 25+ years of industry leadership with strong growth trajectory

 Please fill the following details:

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2) Expected CTC

3) Notice Period

4) Current Location

5) Reason of Change

6) Years of Experience

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Job Description: 

• Understand existing databases and develop schemas, tables, indexes, relationships, constraints, stored procedures, and data access patterns. 

• Design and build the target database structure based on application requirements and business logic. 

• Define database architecture, data models, table structures, indexing strategies, and performance optimization approaches. 

• Support mapping of existing database objects and data access logic to the target Java application architecture. 

• Develop and validate SQL queries, database scripts, and data access components. 

• Assess data migration requirements, data integrity, reconciliation, and compatibility. 

• Support database testing, performance tuning, troubleshooting, and production readiness. 

Experience – 8-10 Years 

Location – Preferably Bengaluru 

A Database Architectdesigns, builds, and optimizes large-scale database systems, data models, and storage infrastructures to ensure high performance, security, and scalability

Requried Skills::

Typically requires 12+ years of hands-on experience in database administration, database development, or systems architecture

• Deep expertise in SQL and NoSQL databases (e.g., Oracle, MySQL, PostgreSQL, MongoDB, Amazon DynamoDB).
• Hands on Experience in Couchbase
• Proficiency in data modeling tools and cloud architecture.
• Knowledge of data governance, security standards, and high-availability frameworks.

Connect new databases with existing infrastructure, APIs, and cloud platforms (such as AWS, Azure, or Google Cloud)

Partner with software developers, data engineers, and IT teams to guide database implementation and operational best practices

Qualification ::

Education: A bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field (some senior roles prefer a master's degree).

Job Title: Senior Data Architect

Experience: 7+ Years

Location: India (Ahmedabad / Hybrid/Remote)

Job Summary

We are looking for an experienced Senior Data Architect to support the modernization and enhancement of Enterprise Analytic Data Warehouse (ADW). The candidate will be responsible for evaluating existing data architecture, designing scalable data models, assessing data integration across clinical, operational and financial domains, and establishing data governance and data quality standards.

Key Responsibilities

• Assess and review the existing Enterprise Analytic Data Warehouse architecture, database structures and data integration processes.
• Design and improve enterprise data models covering clinical, operational, financial and revenue-cycle information.
• Define data architecture standards, database structures, data relationships and integration strategies.
• Evaluate data flows between source systems and the data warehouse.
• Design and review source-to-target mappings and data lineage.
• Identify architectural gaps affecting data completeness, consistency, integrity and reporting accuracy.
• Establish standardized data definitions, data governance practices and metadata management.
• Ensure consistent patient, facility, payer and other critical identifiers across different datasets.
• Support integration of billing, claims, payment, denial and accounts receivable (AR) data.
• Work with SQL and Python-based data processing solutions to investigate and validate data structures.
• Recommend improvements to warehouse scalability, performance, reliability and maintainability.
• Develop a prioritized architecture and modernization roadmap for future implementation.
• Coordinate with data engineers, analytics engineers and business stakeholders.

Required Technical Skills

• Strong experience in Data Architecture and Enterprise Data Warehousing.
• Advanced SQL and relational database concepts.
• Experience with data modelling (conceptual, logical and physical).
• Knowledge of ETL/ELT pipelines and data integration.
• Experience with data profiling, data lineage and metadata management.
• Understanding of data governance, data quality and data validation frameworks.
• Experience working with large and complex datasets.
• Python knowledge for data analysis and validation.
• Experience with cloud-based data platforms or modern data warehouse technologies.

Preferred Skills

• Experience with Databricks, Azure, AWS or similar cloud data platforms.
• Experience with healthcare data warehouses.
• Knowledge of clinical, financial, billing and claims datasets.
• Understanding of HIPAA, PHI and healthcare data security principles.
• Experience with healthcare analytics, reimbursement and revenue-cycle data.

Company Overview:

Euphoric Thought Technologies is a technology-driven organization focused on building scalable, high-performance data ecosystems that power modern digital enterprises. Operating at the intersection of big data and cloud infrastructure, the company provides robust platforms that enable businesses to process complex information in real-time. With a culture rooted in engineering excellence and technical innovation, Euphoric Thought Technologies supports a diverse portfolio of clients, ensuring their data architecture remains resilient, secure, and highly available as they scale globally.

Role Overview:

As a Senior Database Architect, you will serve as the primary technical authority for the design, implementation, and optimization of our core data platforms. You will work closely with engineering leadership, product managers, and infrastructure teams to translate complex business requirements into high-performing database solutions. Your work will directly influence the reliability and efficiency of our systems, ensuring that our data architecture can handle massive throughput while maintaining strict integrity standards. This role is pivotal in shaping our long-term data strategy and mentoring junior engineers to maintain a high bar for technical excellence.

Key Responsibilities:

- Design and implement highly scalable database architectures using Couchbase to support high-concurrency applications and ensure low-latency data access.

- Lead the end-to-end database design process, including schema modeling, indexing strategies, and partitioning, to optimize performance for large-scale enterprise workloads.

- Oversee comprehensive database administration tasks, including capacity planning, performance tuning, and disaster recovery, to ensure 99.99% system availability.

- Collaborate with cross-functional development teams to troubleshoot complex data bottlenecks and implement automated solutions that streamline deployment pipelines.

- Establish and enforce best practices for data security, compliance, and governance across all production and staging environments to protect sensitive information.

- Mentor engineering teams on advanced database concepts and emerging technologies to foster a culture of continuous learning and technical growth.

Required Skillset:

- Demonstrated expertise in architecting and managing NoSQL solutions, with a deep specialization in Couchbase and its integration within distributed systems.

- Proven ability to design complex database schemas and optimize query performance in high-traffic, mission-critical environments.

- Strong proficiency in database administration, including proactive monitoring, backup/recovery strategies, and infrastructure automation.

- Excellent communication skills with the ability to articulate complex technical trade-offs to non-technical stakeholders and influence architectural decisions.

- Ability to thrive in a collaborative, fast-paced environment in Bangalore, working effectively with both local and distributed teams.

- A Bachelor’s or Master’s degree in Computer Science or a related field, combined with 6 to 12 years of hands-on experience in database architecture and engineering.