DBA-MySQL

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).

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.

IMMEDIATE JOINERS ONLY

Key Responsibilities:

1                   Data Flow Mapping & Lineage

2                   Design and produce end-to-end data flow maps for critical data items – from market source/core systems, through Data Lake staging, zone 2 and consumption zone 3, to downstream reporting, dashboards and analytics use cases.

3                   Document data lineage and transformations for critical data elements identified in the Master Data Requirements exercise, ensuring traceability that is audit-defensible and supports regulatory, governance and AI-readiness needs.

4                   Map data availability by country/Data Lake against the Product Hierarchy (to profit-centre level), building the consolidated Commercial Data Landscape view of what exists, where it sits (source only, staging, or consumption) and what is not captured at all.

5                   Document cross-system dependencies and cross-border data flows, flagging data residency, privacy and regulatory considerations to the appropriate governance forums.

6                   Data Inventory, Data Model Alignment & Gap Analysis

•                    Own and mature the data asset inventory, catalogue and data dictionary aligned to the consolidated Master Data Requirements Template – resolving “Not Specified”, “TBD” and “validation required” availability statuses through structured validation with Market IT and Data Engineering.

•                    Align business data requirements to the conceptual and logical data model of the target Data Lakehouse, ensuring the dependency between data model design and lineage tracking of critical data items is explicitly documented.

•                    Perform gap and hydration analysis by market and product, quantifying the scale of data that must be brought into the Data Lakes and providing sizing input to the Data Foundation Lead, DAE architects and Data Engineering delivery plans.

•                    Contribute to the Data Consolidation Plan towards a single source of truth, including recommended sequencing based on business priority (Top 200 fields, Horizon 1–3 priorities).

•                    Stakeholder Engagement & Workshops

•                    Work hand-in-hand with the Data Foundation Lead, Data & Analytics Programme Manager, Data Engineers, DAE/infrastructure architects, Local Market IT and Business stakeholders (Regional and Market) as the connective tissue between business data needs and technical implementation.

•                    Plan and facilitate structured interviews and cross-functional validation workshops with business, technology and data stakeholders to corroborate actual operating data flows against documented processes – establishing a fact-based, evidence-backed view rather than relying on documentation alone.

•                    Translate ambiguous business asks into clear data definitions, mapping rules and acceptance criteria that Data Engineering can build against, and play back findings to senior stakeholders in clear, visual, decision-oriented formats.

•                    Manage competing priorities across multiple markets with tact, keeping momentum in an environment of constrained capacity and differing local system landscapes.

•                    Governance, Ownership & Documentation

•                    Produce and maintain the Data Ownership & Accountability Matrix – mapping data owners, stewards and custodians per data asset and highlighting ownership gaps for remediation.

•                    Classify data assets by sensitivity and business function, aligning to Data Protection Policy, PDPA and applicable regulatory expectations (e.g. MAS guidelines) in partnership with Risk & Compliance.

•                    Ensure all data flow maps, lineage records and inventory artefacts are version-controlled, audit-ready and handed over cleanly into BAU data governance processes.

•                    Produce source to Datalake mapping document and data catalogue for missing data elements to complete Datalake hydration

Key Skills

•                    Data flow mapping and lineage documentation – proven ability to draw clear, accurate source-to-consumption data flow maps across complex multi-system, multi-market landscapes.

•                    Data architecture and modelling – strong grasp of conceptual/logical data models, data lake/lakehouse zone architectures (staging, conformed, consumption), data marts and MDM concepts.

•                    Data inventory, catalogue, dictionary and metadata management; familiarity with lineage/catalogue tooling (e.g. Purview, Collibra) and diagramming tools (e.g. Visio, ErWin, Lucidchart).

•                    Hands-on data profiling and validation skills (SQL essential) to verify what actually exists in source systems and lake zones.

•                    Strong stakeholder management – this is critical: able to build trust and drive outcomes across regional leadership, market business teams, Market IT and engineering, and to facilitate effective cross-functional workshops.

•                    Insurance domain knowledge – ideally commercial and specialty lines, with an understanding of policy, claims, reinsurance and underwriting data.

•                    Data quality, governance and privacy concepts, including cross-border data considerations.

•                    Clear written and visual communication – able to make complex data landscapes understandable to executives.

Experience & Qualification Requirements:

•                    8+ years’ experience in data architecture, data business analysis or information architecture roles, with at least:

•                    3+ years documenting data flows, lineage or data landscapes across multi-system / multi-market environments.

•                    Experience in Insurance or Financial Services, ideally within data foundation, data lake or data governance programmes.

•                    Demonstrated delivery of data inventory / data mapping / current-state data landscape assessments involving both business and IT stakeholders.

•                    Relevant certification (e.g. DAMA CDMP, TOGAF, cloud data platform certifications) preferred.