Senior Data Architect

RWS; Indore District; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

RWS Technology Services - India is seeking a Senior Databricks architect/engineer to design, build, and govern a modern enterprise data platform on Databricks. The role focuses on data modeling, cloud-native lakehouse architectures, and enterprise analytics with AI capabilities.

You will define platform strategy, establish best practices, mentor engineers, and ensure scalable solutions across Bronze/Silver/Gold layers, governance, and self-service analytics for business users.

Qualifications

• Strong data modeling background with hands-on experience in legacy platforms such as SQL Server, Oracle, Teradata, and traditional warehouses.
• Proven ability to transform legacy data warehouses into cloud-native architectures and modern lakehouse designs.
• Experience translating star/snowflake schemas into Delta Lake optimized architectures.

Responsibilities

• Over all 8+ years of experience in Data Architecture & Lakehouse Design.
• Design and implement enterprise-scale Databricks Lakehouse solutions.
• Define data architecture, governance standards, and data modeling practices.
• Design and optimize Bronze, Silver, and Gold layer architectures.
• Establish best practices for moving data across Medallion Architecture layers.
• Define standards for reference/master data tables, dimensional modelling, data domains and shared data assets.
• Structure lakehouse environments for scalability, maintainability and performance.
• Produce architecture diagrams, technical documentation, and lead design reviews.

Skills

Databricks

Delta Lake

Unity Catalog

PySpark

SQL

Scala

Data Modeling

Legacy Data Migration

Cloud Architecture

Education

Bachelor's in CS/IS/Data Science

Master's degree

Tools

MLflow

Genie Spaces

Job description

We are seeking a senior Databricks architect/engineer who can design, build, and govern a modern enterprise data platform on Databricks. The ideal candidate should have a strong background in traditional data modeling and data architecture (SQL Server, Oracle, Teradata, etc.) and have successfully transitioned to cloud-native lakehouse architectures.

This individual will be responsible for defining the data platform strategy, establishing best practices, mentoring engineers, and ensuring the platform can scale to support enterprise analytics, AI, and self-service data consumption.

About RWS Technology Services - India

RWS Technology Services provide end-to-end business technology solutions. Our team of experts provides a wide portfolio of services around digital technologies and technology operations to help organizations stay ahead of the curve, lower their total cost of ownership, and improve efficiencies.

How we help - RWS Technology Services offer state-of-the-art technology solutions across the product lifecycle management process – all the way from consulting, concept, design, development to maintenance and optimization. We specialize in helping companies excel in the global, fast-paced technology landscape by supporting them in every aspect of customer interaction: Globalization, Digitization, Customer Experiences Management, Business Processes Automation, and Technology Infrastructure Modernization.

Why choose RWS? - Innovative: RWS understands the needs of our customers to use the best talent, latest technologies, and solutions to help create connected customer experiences. We help our clients differentiate themselves by making their product engineering capabilities more data driven, powered by AI, and supported by cloud services and intelligent edge devices.

Tailored: RWS Technology Services has been delivering technology services and solutions to start-ups, mid-sized and Fortune 500 corporations for over 20 years now. Our technology experience across all key industries ensures tailored applications development to meet the unique business needs of our clients.

Our group is led by dedicated on-shore and off-shore project management teams of highly experienced professionals specializing in both agile and waterfall methodologies. We understand complex technology deployments and have a proven record to manage business critical, time-sensitive, and highly secure deployments that scale with your business growth.

Key Responsibilities

• Over all 8 + Years of working experience on Data Architecture & Lakehouse Design
• Design and implement enterprise-scale Databricks Lakehouse solutions.
• Define data architecture, governance standards, and data modeling practices.
• Design and optimize Bronze, Silver, and Gold layer architectures.
• Establish best practices for moving data across Medallion Architecture layers.
• Define standards for:
• Reference/master data tables
• Dimensional modelling
• Data domains
• Shared data assets
• Structure lakehouse environments for scalability, maintainability, and performance.
• Produce architecture diagrams, technical documentation, and lead design reviews.

Skills & Experience

Data Modeling & Modernization

• Strong data modeling background with hands-on experience in legacy platforms such as:
• SQL Server
• Oracle
• Teradata
• Traditional data warehouses
• Proven experience transforming legacy data warehouses into cloud-native architectures.
• Ability to modernize:
• Relational data models
• Stored procedures
• ETL workflows
• Data integration patterns
• Experience translating star/snowflake schemas into Delta Lake optimized architectures.
• Ability to bridge traditional DBA/data modeler disciplines with modern cloud architecture practices.

Data Engineering & Platform Optimization

• Deep expertise with:
• Databricks
• Delta Lake
• Unity Catalog
• Workflows
• MLflow
• Strong proficiency in:
• PySpark
• SQL
• Scala (preferred)
• Optimize data structures, storage patterns, and processing pipelines for large-scale growth.
• Design resilient ingestion and storage patterns that minimize operational impact when upstream systems experience outages.
• Establish best practices around:
• Data transformation placement
• ETL/ELT architecture
• Compute optimization
• Cost management
• Performance tuning

Governance, Security & Compliance

• Strong understanding of:
• Data lineage
• Metadata management
• Data quality frameworks
• Enterprise data governance
• Hands‑on experience with Unity Catalog governance capabilities.
• Define and implement:
• Role‑based access controls (RBAC)
• Row‑level security
• Column‑level security
• Data masking
• Experience supporting regulated environments, preferably within Financial Services.
• Familiarity with SOX, GDPR, PCI-DSS, and related compliance frameworks.

Analytics & Self-Service Enablement

• Design curated data products and semantic layers for business users.
• Establish scalable frameworks for enterprise reporting and analytics.
• Experience with Databricks AI/BI capabilities.
• Understanding of Genie Spaces/Genie Workspaces and how they can be leveraged for self-service analytics and natural language data access.
• Ability to create reusable data assets that support both reporting and AI use cases.

AI & Databricks Generative AI Capabilities

While deep AI expertise is not required, the candidate should understand and be able to leverage Databricks-native AI capabilities.

• Preferred experience includes:
• Mosaic AI
• MLflow
• Databricks Feature Store
• Vector Search
• Model Serving
• Agent Bricks
• Databricks AI/BI
• Retrieval-Augmented Generation (RAG) architectures
• Building and supporting AI-enabled data products
• Ability to evaluate and lead AI-related proofs of concept is highly desirable.

Leadership & Collaboration

• Lead technical discussions and architecture reviews.
• Mentor and guide junior engineers.
• Establish engineering standards and best practices.
• Work effectively across onshore and offshore teams.
• Communicate technical concepts clearly to both engineering and business stakeholders.
• Participate in sprint planning, architecture reviews, stakeholder discussions, and strategic platform initiatives.

Ideal Candidate Profile

The ideal candidate is someone who:

• Started their career as a data modeler, DBA, or data architect.
• Has deep experience with legacy enterprise data platforms.
• Successfully transitioned to modern cloud-native architectures.
• Can define enterprise data strategy, not just build pipelines.
• Understands how to balance data governance, performance, scalability, and usability.
• Has familiarity with Databricks AI capabilities and can help the organization evolve toward AI-enabled analytics and agentic experiences.

Key Hiring Differentiators

• Candidates will score higher if they demonstrate:
• End-to-end architecture ownership.
• Strong data modeling expertise.
• Experience mentoring or leading engineering teams.
• Successful Databricks platform implementations.
• Use of Databricks AI capabilities (Mosaic AI, Agent Bricks, Genie, Vector Search, MLflow).
• Experience in Financial Services or similarly regulated industries

Education:

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field
• Master’s degree is a plus

Life at RWS -

If you like the idea of working with smart people who are passionate about growing the value of ideas, data and content by making sure organizations are understood, then you’ll love life at RWS.

Our purpose is to unlock global understanding.

This means our work fundamentally recognizes the value of every language and culture. So, we celebrate difference, we are inclusive and believe that diversity makes us strong. We want every employee to grow as an individual and excel in their career.

In return, we expect all our people to live by the values that unite us: to partner, putting clients fist and winning together, to pioneer, innovating fearlessly and leading with vision and courage, to progress, aiming high and growing through actions and to deliver, owning the outcome and building trust with our colleagues and clients.

RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.

RWS Values

Get the 3Ps right – Partner, Pioneer, Progress – and we´ll Deliver together as RWS.

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