Senior Data Architect

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

Job summary

RWS Technology Services - India seeks a senior Databricks architect/engineer to design, build and govern a modern enterprise data platform on Databricks. You will transform legacy data models into cloud-native lakehouse architectures and define the data platform strategy with best practices.

You will mentor engineers, drive standards, and ensure the platform supports analytics, AI, and self-service data consumption at scale for the organization.

Qualifications

• 8+ years of experience in data architecture and lakehouse design.
• Experience designing enterprise Databricks Lakehouse solutions with Bronze, Silver, and Gold layers.
• Strong data modeling, governance, master data, and architecture standards definition.
• Experience with cloud-native architectures, performance optimization, and cost management.

Responsibilities

• Define data platform strategy and establish best practices.
• Design enterprise-scale Databricks Lakehouse solutions.
• Mentor engineers and lead architecture reviews.
• Collaborate with global teams and communicate with technical and business stakeholders.
• Ensure platform scales for analytics, AI, and self-service data consumption.

Skills

Databricks

Data architecture

Data modeling

SQL Server

Oracle

Teradata

PySpark

Scala

AI capabilities

Education

Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field

Master’s degree is a plus

Tools

Delta Lake

Unity Catalog

MLflow

Workflows

SQL

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

• 8+ years of experience in Data Architecture and Lakehouse Design.
• Design enterprise-scale Databricks Lakehouse solutions using Bronze, Silver, and Gold layers.
• Define data modeling, governance, master data, and architecture standards.
• Optimize performance, scalability, and data processing; lead architecture reviews and documentation.

Skills & Experience

1. Data Modeling & Modernization

• Expertise in SQL Server, Oracle, Teradata, data modeling, and traditional data warehouses.
• Experience modernizing legacy platforms, ETL workflows, relational models, and star/snowflake schemas into cloud-native Delta Lake architectures.
• Strong expertise in Databricks, Delta Lake, Unity Catalog, Workflows, MLflow, PySpark, and SQL; Scala preferred.
• Experience in ETL/ELT design, ingestion, performance tuning, compute optimization, and cost management.

3. Governance, Security & Compliance

• Knowledge of data lineage, metadata, data quality, and enterprise governance.
• Experience with Unity Catalog, RBAC, data masking, row/column-level security, and compliance frameworks such as SOX, GDPR, and PCI-DSS.

4. Analytics & Self-Service Enablement

• Design curated data products, semantic layers, and scalable reporting solutions.
• Familiarity with Databricks AI/BI, Genie, and self-service analytics.

5. AI & Generative AI Capabilities

• Understanding of Databricks AI tools, including Mosaic AI, Feature Store, Vector Search, Model Serving, Agent Bricks, and MLflow.
• Knowledge of RAG architectures and AI-enabled data products is desirable.
• Lead architecture reviews, mentor engineers, and establish technical best practices.
• Collaborate with global teams and communicate effectively with technical and business stakeholders.

Ideal Candidate Profile

• Background in data modeling, DBA, or data architecture with experience in legacy systems and cloud modernization.
• Ability to define enterprise data strategy while balancing governance, performance, scalability, and AI-driven analytics.

Key Hiring Differentiators

• End-to-end architecture ownership and successful Databricks implementations.
• Strong data modeling and technical leadership experience.
• Exposure to Databricks AI capabilities and experience in Financial Services or 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.