3,230 Data Architect jobs in India
Data Architect
Posted 1 day ago
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Job Description
**Grade Level (for internal use):**
09
**The Team:**
Our Data Architecture team specifies data structures based on the concepts, relationships, taxonomies or classifications that reflect reality. Every day you will work with people from a wide variety of backgrounds, disciplines and geographies, and diverse data sets and metadata-driven capabilities.
**Responsibilities and Impact:**
+ Specify appropriate data structures for various software development projects. Manage metadata in the Data Management System (DMS), the enterprise's metadata repository.
+ Coordinate with the Data Services engineering team on the implementation of data structures and assist with database-level performance analysis and troubleshooting
+ Deliver training, technical support, and functional support
+ Ensure database design and metadata conforms to data management and enterprise standards
+ Ensure uniform implementation across platforms and applications
+ This position provides a tremendous opportunity to grow personally and professionally. We provide considerable training so you can become comfortable with our proprietary information systems.
+ You will collaborate with Scrum Masters, Project Managers, Content Analyst, Developers and DBAs to design solutions based on industry standard methodologies, and use your critical thinking skills to overcome challenges
**What We're Looking For:**
**Basic Required Qualifications:**
+ Strong conceptual understanding of relational database concepts and modelling
+ Strong Project Management skills, e.g., written and verbal communication, organization, requirements elicitation and consensus-building
+ Strong detail-orientation
+ Basic understanding of programming concepts
**Additional Preferred Qualifications:**
+ Hands-on experience with at least one RDBMS (MSSQL, PGSQL, Oracle)
+ Basic understanding of financial concepts
+ Basic knowledge and understanding of S&P Global Market Intelligence database and corporate structure, systems, products, and services
**What's In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
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**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
**US Candidates Only:** The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group)
**Job ID:**
**Posted On:**
**Location:** Hyderabad, Telangana, India
Data Architect
Posted 5 days ago
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Job Description
+ Utilize Google Cloud Platform & Data Services to modernize legacy applications.
+ Understand technical business requirements and define architecture solutions that align to Ford Motor & Credit Companies Patterns and Standards.
+ Collaborate and work with global architecture teams to define analytics cloud platform strategy and build Cloud analytics solutions within enterprise data factory.
+ Provide Architecture leadership in design & delivery of new Unified data platform on GCP.
+ Understand complex data structures in analytics space as well as interfacing application systems. Develop and maintain conceptual, logical & physical data models. Design and guide Product teams on Subject Areas and Data Marts to deliver integrated data solutions.
+ Leverage cloud AI/ML Platforms to deliver business and technical requirements.
+ Provide architectural guidance for optimal solutions considering regional Regulatory needs.
+ Provide architecture assessments on technical solutions and make recommendations that meet business needs and align with architectural governance and standard.
+ Guide teams through the enterprise architecture processes and advise teams on cloud-based design, development, and data mesh architecture.
+ Provide advisory and technical consulting across all initiatives including PoCs, product evaluations and recommendations, security, architecture assessments, integration considerations, etc.
**Required Skills and Selection Criteria:**
+ Google Professional Solution Architect certification.
+ 8+ years of relevant work experience in analytics application and data architecture, with deep understanding of cloud hosting concepts and implementations.
+ 5+ years' experience in Data and Solution Architecture in analytics space. Solid knowledge of cloud data architecture, data modelling principles, and expertise in Data Modeling tools.
+ Experience in migrating legacy analytics applications to Cloud platform and business adoption of these platforms to build insights and dashboards through deep knowledge of traditional and cloud Data Lake, Warehouse and Mart concepts.
+ Good understanding of domain driven design and data mesh principles.
+ Experience with designing, building, and deploying ML models to solve business challenges using Python/BQML/Vertex AI on GCP.
+ Knowledge of enterprise frameworks and technologies. Strong in architecture design patterns, experience with secure interoperability standards and methods, architecture tolls and process.
+ Deep understanding of traditional and cloud data warehouse environment, with hands on programming experience building data pipelines on cloud in a highly distributed and fault-tolerant manner. Experience using Dataflow, pub/sub, Kafka, Cloud run, cloud functions, Bigquery, Dataform, Dataplex , etc.
+ Strong understanding on DevOps principles and practices, including continuous integration and deployment (CI/CD), automated testing & deployment pipelines.
+ Good understanding of cloud security best practices and be familiar with different security tools and techniques like Identity and Access Management (IAM), Encryption, Network Security, etc. Strong understanding of microservices architecture.
**Nice to Have**
+ Bachelor's degree in Computer science/engineering, Data science or related field.
+ Strong leadership, communication, interpersonal, organizing, and problem-solving skills
+ Good presentation skills with ability to communicate architectural proposals to diverse audiences (user groups, stakeholders, and senior management).
+ Experience in Banking and Financial Regulatory Reporting space.
+ Ability to work on multiple projects in a fast paced & dynamic environment.
+ Exposure to multiple, diverse technologies, platforms, and processing environments.
**Requisition ID** : 47962
Data Architect
Posted today
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Job Description
TCS Opportunity! Solution Data Architect
Role: Solution Data Architect
Required Technical Skill: Telecom BSS Solution architecture, Hands on in designing architecture for complex projects, JIRA, Agile, TMforum ODA, Kafka, Microservices, SpringBoot
Experience Range: 10+ Years
Work Location: Chennai/Hyderabad
NOTE: If any of the skills/profile matches and are interested, please reply to this message by attaching your latest updated CV and with below few details:
**(Ex-TCSer/Already Selected for TCS please ignore this mail)
If not interested, please ignore this message and accept my apologies.
Name:
Preferred Location:
Contact Number:
Email ID:
Highest Qualification in: (Full Time Course Only)
Current Organization Name:
Total IT Experience:
Current CTC:
Expected CTC:
Notice Period:
Have you ever worked with TCS directly and indirectly:
TCS EP No. if you already have: (Not Mandatory)
PFB Job Description
Must Have:
- Telecom BSS Solution architecture, Hands on in desgning architecture for complex projects , JIRA , Agile , Tmforum
- Liaise with Business Analyst and business uses to get clarifications
- Participate in meetings with business users to get more details on the requirements
- Impact Analysis on BSS and other in-scope applications
- Highlight challenges/risks, if any, in implementing the requirements
- Discuss with the Design team to get more details on the external systems impact
- Prepare high level solution for the requirements
- Prepare the T Shirt sizing estimates with the support from developers and have the efforts approved
- Prepare high level design document
- Walk through the design document with all the stakeholders to get the sign-off from Customer
- Hand-over the signed design document to the developers to start the development
- Provide inputs/clarifications to developers (of the impacted in-scope systems)
- Review of test scenarios to ensure all changes are covered as part of testing
- Coordinate between business, development and testing teams in case of any gaps in the requirement /solution
Thanks,
Venkatesh K
TAG Recruiter at Tata Consultancy Services
Data Architect
Posted today
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Job Description
Job Title: Data Architect
Job Type: Full-time
Experience: 10 + years
Location: Bihar
Job Role: Data Architect – Responsible for designing enterprise data models, schemas, and architectures, ensuring strong governance, lineage, quality frameworks, and building scalable on-premises, big data, and cloud-native data platforms.
Experience:
- Total Experience: 10+ years in Enterprise Data Architecture and Data Management
- Proven expertise in enterprise data modeling, schema design, data governance, and cloud data platforms
Education Qualification: MSc-IT / MCA / B.Tech / B.E. from a reputed institute
Technical Skills
- Data Modeling & Architecture: Enterprise Data Modeling, Schema & Architecture Design
- Data Governance & Lineage: Metadata Management, Data Quality Frameworks
- Databases (On-premises): Postgres, Oracle, Teradata
- Data Warehouse: Enterprise Data Warehousing Solutions
- Big Data: Hadoop, Spark
- Cloud Platforms: AWS Redshift, Azure Synapse, GCP BigQuery
- Integration & Security: Data Integration Frameworks, Compliance, Privacy, Security Standards
Relevant Skills
- Designing and managing enterprise data models and architectures
- Establishing and maintaining governance and lineage frameworks
- Architecting and optimizing on-premises databases and data warehouses
- Big data solutions development with Hadoop and Spark
- Cloud-native data platform setup and integration strategies
- Strong knowledge of ETL/ELT, data migration, and performance optimization
- Ensuring compliance, data quality, and security standards
Roles & Responsibilities
- Design and maintain scalable enterprise data models, schemas, and architectures
- Define and enforce data governance, lineage, and quality frameworks
- Architect and manage on-premises RDBMS (Postgres, Oracle, Teradata)
- Build and optimize data warehouses for analytics and reporting
- Implement and manage big data ecosystems using Hadoop and Spark
- Architect cloud-based data platforms (AWS, Azure, GCP) for scalability
- Collaborate with stakeholders to define integration and migration strategies
- Ensure data security, privacy, and compliance across systems
- Provide technical leadership, mentoring, and best practices to teams
- Troubleshoot, optimize, and automate data processes
If you are passionate about designing robust data architectures, driving governance frameworks, and building scalable enterprise and cloud-native data solutions, this role is for you.
Apply Now or share your resumes at:
Thanks & Regards,
TA Team – CIPL
Data Architect
Posted today
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Job Description
About the Company
Arcolab is a Global Capability Centre designed to provide a wide range of specialized capabilities across diverse business functions. With a strong focus on customer centricity and delivering excellence, Arcolab positions itself as a Centre of Excellence within the pharmaceutical sector. By driving customer-first strategies and developing niche expertise, Arcolab supports its clients in addressing complex business needs across multiple areas. Our organization is at the forefront of innovation, driving value across the entirety of the customers’ digital and AI transformation journey through repeatable and customized cutting-edge solutions powered by Microsoft Azure suite and AI.
About the Role
The Data and Analytics function is hiring for a Lead Data Architect with about 12+ years of experience, who will be responsible for translating the client’s business requirements into an optimal architecture designed to address client business problems.
Responsibilities
- Gather customer/partner insights from a broad range of stakeholders.
- Define and document the architecture to communicate the value proposition of the business solution.
- Drive project/technical governance of the design, build, and deployment.
- Work with business sponsors and customer/partner stakeholders to gather and ratify requirements and constraints.
- Responsible for dimensional modelling, best practices, and development of data accelerators.
Required Skills
- About 12+ years of experience in relevant fields.
- Experience with cloud platforms, such as Azure.
- Knowledge on big data developments and technology architectures.
- Strong understanding of complex business problems to ensure projects are leveraging the appropriate technology and the technical design.
- Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, database migrations, and technology management.
- Experience in moving data from on-premises data platforms to cloud and designing cloud native data warehouse platform.
- Experience working with transactional, temporal, time series, and structured and unstructured data.
- Big Data and Data Warehouses including Azure Data Lake, Azure Data Explorer, Azure Data factory, Pyspark, SQL and some experience in Fabric.
- Advanced Analytics including Azure Synapse Analytics, Azure Data Bricks, data visualization tools (i.e. PowerBI, Tableau).
- Data Science and Machine Learning (i.e. Azure ML, ML Server, TensorFlow, or other similar frameworks).
- Experience with cloud infrastructure, storage optimization and query optimizations.
- Experience in delivering/managing lifecycle of software/services using DevOps/MLOps.
- Proficiency in data modeling and design, including SQL development and database administration.
- Experience with cloud platforms, such as Azure, to manage and integrate data systems.
- Knowledge of big data developments and technology architectures.
- Familiarity with data security measures and compliance regulations.
- Ability to design and model database, data warehouse, and data flow infrastructures.
- Understanding of data integration and the tools to manage data flow.
- Excellent communication and collaboration skills.
Data Architect
Posted today
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Job Description
Position – Data Architect
Experience: 8+ years
Position Overview
We are seeking a Data Architect who can understand enterprise data from the ground up and translate it into scalable, reliable, and dynamic designs. The ideal candidate will not only build robust data foundations but also leverage Generative AI (GenAI) and advanced data insights frameworks to unlock predictive, actionable intelligence for the enterprise.
Key Responsibilities
- Analyze and understand enterprise-wide data sources , including structured and unstructured datasets.
- Design and implement data models and architectures to support dynamic reporting, advanced analytics, and predictive capabilities.
- Architect scalable data pipelines, warehouses, and lakehouse solutions with high performance and reliability.
- Integrate GenAI solutions to generate insights, automate documentation, and enhance data accessibility across the organization.
- Define and enforce data standards, governance, security, and compliance practices enterprise-wide.
- Collaborate with business stakeholders, data engineers, AI/ML teams, and analysts to ensure alignment of solutions with business outcomes.
- Create systems to deliver real-time and batch insights , enabling dynamic dashboards, AI-driven recommendations, and predictive reporting.
- Drive data democratization by making insights consumable for both technical and non-technical teams.
- Lead data modernization efforts , including migration from legacy to modern cloud-native platforms.
- Provide technical leadership and mentorship on data, AI adoption, and architecture best practices.
Required Skills & Experience
- Strong foundation in RDBMS design, data modeling, and schema optimization .
- Advanced skills in SQL (performance tuning, complex queries, analytics functions).
- Proven experience in data warehouse, data lake, or lakehouse architectures .
- Proficiency in ETL/ELT frameworks and data integration tools (Informatica, Talend, dbt, Glue).
- Expertise in cloud data platforms (AWS Redshift, Azure Synapse, GCP BigQuery, Snowflake).
- Understanding of GenAI frameworks (OpenAI, Vertex AI, Bedrock, Azure OpenAI) for data generation, automation, and summarization.
- Knowledge of data governance, metadata, lineage, and enterprise data quality practices .
- Experience with real-time streaming (Kafka, Kinesis, Flink) and big data ecosystems (Hadoop, Spark) .
- Familiarity with data science, AI/ML model pipelines , and insight delivery systems.
- Strong communication skills to present data insights and AI-driven recommendations clearly to executives and business leaders.
Preferred Qualifications
- 8+ years of experience in data architecture, enterprise data strategy, or data modernization programs .
- Hands-on with AI-driven analytics and GenAI adoption in enterprise environments .
- Knowledge of enterprise architecture frameworks (TOGAF, DAMA-DMBOK).
- Prior experience in enterprise applications design with any vertical like financial, healthcare or etc .
Expectation
- Design next-generation enterprise data and AI architectures.
- Exposure to cutting-edge GenAI platforms to accelerate data insights and innovation.
- Working in a collaborative environment where vision drives enterprise data strategies.
- Growth in cloud, AI-driven analytics, and predictive insights engineering.
Data Architect
Posted today
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Job Description
Title: Data Architect
Location : Offshore India - Bangalore
Duration: 3 Months
Description:
- 10 – 15 Years of Total Experience of IT experience with majority as a Data Architect
- Experience with data warehousing concepts and proficiency in various database systems
- Strong knowledge of database structure principles.
- Familiarity with data warehousing solutions and ETL (Extract, Transform, Load) tools.
- Proficiency in data mining and data segmentation .Design and build relational databases for data storage or processing.
- Excellent problem-solving and analytical skills, with the ability to assess complex business requirements and translate them into technical solutions.
- Strong communication and presentation skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders.
- Experience in data modeling, database design, and data administration
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Data Architect
Posted today
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Applied Systems is a leader in the Insurtech space providing technological innovations that improve efficiency, elevate customer experience, and revolutionize policy management in the insurance industry. The company is expanding rapidly and is looking for passionate leaders to help build and maintain the next generation of products.
The Ideal Candidate: We are looking for an experienced Data Architect who …
- Demonstrates a passion for producing quality solutions.
- Is adept at working in a collaborative environment within an Agile team.
- Can clearly articulate thoughts and communicate in both technical and business terms.
- Has at least 10 years of practical experience in database architecture and administration.
- Can interface with varied positions and levels of technical knowledge both within the department and with other departments inside and outside the company.
- Has a history of delivering high performance, high availability, efficient and scalable systems.
- Has experience architecting enterprise cloud-native data pipelines.
- Is familiar with both structured and unstructured data.
- Possesses a BTech/BE/MTech/MCA degree in Computer Science, Information Technology or equivalent.
- Has at least 12+ years of experience.
Responsibilities:
- Engage with business and technology leaders to understand current operations and processes as a foundation for designing robust database architectures.
- Evaluate existing applications, identify areas of improvement, and propose alternative solutions.
- Leverage emerging technologies to ensure products are continuously positioned to maximize business value.
- Work collaboratively with software development teams and third-party vendors.
- Drive data pipeline architecture strategies by leading discussions with the business and the development teams.
- Perform design and code reviews for development teams.
- Monitor database performance statistics and recommend improvements.
- Mentor other database engineers in database design and optimization.
- Participate in technology evaluation, prototyping, security, and internal audits.
- Effectively multitask between several different projects.
Required Skills:
- Deep knowledge of the SQL language, data modeling and database performance tuning.
- Experience designing and building large Cloud-ready highly scalable and distributed software.
- Understanding of relational, No-SQL and columnar structures.
- SQL Server 2019 and higher.
- Database optimization tools (ie SQL Compass, SolarWinds)
- Some experience in Google Cloud Platform: GKE, PubSub, Cloud Storage, DataFlow, BigQuery & Looker would be an advantage.
- Experience with data pipeline and workflow management tools (ie SSIS, DataFlow)
- Familiarity with reporting tools (ie SSRS, Looker)
- Strong understanding of modern information security design and best practices.
Data Architect
Posted today
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Job Description
Location: Unit No.506, 5th Floor Solitaire Business Hub, Survey Number: 27/1, Balewadi high Street, Baner,Pune-
Experience: 5–7 years
Position: Data Architect
At Immersive Data.ai, we are building next-generation AI and data-driven platforms that help enterprises unlock the true power of their data. We specialize in data engineering, AI/ML, and cloud-native solutions, working with customers across industries to deliver impactful business outcomes. Our culture is rooted in innovation, learning, and ownership, where every team member plays a key role in shaping solutions for global clients.
We are looking for a Data Architect with 5–7 years of experience who can design and deliver end-to-end data architectures while also being hands-on with modern data technologies. The ideal candidate will combine strong technical skills in Python and PySpark with the ability to lead teams, engage with clients, and deliver complete data solutions.
Solution Architecture & Design
- Define and design scalable, secure, and high-performance data architectures.
- Translate business requirements into robust technical solutions and architecture diagrams.
- Develop data models, data flows, and frameworks for ingestion, transformation, and analytics.
Solutioning & Implementation
- Lead end-to-end solutioning of projects — from discovery and design to implementation and deployment.
- Be hands-on with Python, PySpark, SQL, and data pipelines to guide and support delivery teams.
- Build reusable components and best practices for data engineering and architecture.
Leadership & Team Management
- Lead and mentor a team of data engineers and developers, ensuring high-quality delivery.
- Collaborate with cross-functional teams including AI/ML engineers, cloud architects, and business analysts.
- Drive technical excellence and continuous improvement within the team.
Customer Engagement
- Conduct solution workshops, PoCs, and client presentations.
- Act as a trusted advisor for clients by recommending innovative, scalable, and cost-effective data solutions.
- Support proposal creation, RFP responses, and pre-sales discussions.
- Strong hands-on expertise in Python and PySpark (must-have).
- 5–7 years of experience in data architecture and engineering.
- Experience with cloud data platforms (AWS/GCP/Azure – BigQuery, Redshift, Snowflake, Databricks).
- Strong understanding of ETL/ELT frameworks, data lakes, data warehousing, and real-time data pipelines.
- Proficiency in SQL, distributed computing, and data processing frameworks.
- Proven experience in leading and managing teams of engineers.
- Ability to balance hands-on coding with strategic architectural leadership.
- Strong communication and stakeholder management skills for client-facing discussions.
- Exposure to AI/ML or GenAI architectures.
- Experience with data governance, lineage, and catalog tools.
- Relevant cloud certifications (AWS, GCP, Azure, Snowflake, Databricks).
- A chance to be part of a fast-growing data & AI company shaping enterprise innovation.
- Exposure to cutting-edge projects across industries.
- A culture of ownership, collaboration, and continuous learning.
- Opportunities to grow into enterprise solution leadership roles.
Data Architect
Posted 1 day ago
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Job Description
Hands-On | Micro Data Lakes | Enterprise Data Strategy
Are you a hands-on Data Architect who thrives on solving complex data problems across structured and unstructured sources? Do you enjoy designing micro data lakes and driving enterprise-wide data strategy? If so, we want to hear from you.
What You Will Do
Design and build micro data lakes tailored to lending domain
Define and implement enterprise data strategies including modelling, lineage, and governance
Architect and build robust data pipelines for batch and real-time data ingestion
Develop strategies for extracting, transforming, and storing data from APIs, PDFs, logs, databases, and more
Establish best practices for data quality, metadata management, and data lifecycle control
Hands-on in implementation of processes, strategies and tools to create differentiated products. – MUST HAVE
Collaborate with engineering and product teams to align data architecture with business goals
Evaluate and integrate modern data platforms and tools such as Databricks, Spark, Kafka, Snowflake, AWS, GCP, Azure
Mentor data engineers and advocate for engineering excellence in data practices
What You Bring
10+ years of experience in data architecture and engineering
Deep understanding of structured and unstructured data ecosystems
Hands-on experience with ETL, ELT, stream processing, querying and data modelling
Proficiency in tools and languages such as Spark, Kafka, Airflow, SQL, Amundsen, Glue Catalog and Python
Expertise in cloud-native data platforms including AWS, Azure, or GCP
Strong grounding in data governance, privacy, and compliance standards
A strategic mindset with the ability to execute hands-on when needed
Nice to Have
Exposure to the lending domain
Exposure to ML pipelines or AI integrations
Background in fintech, lending, or regulatory data environments
What We Offer
An opportunity to lead data-first transformation, create products that accelerate AI adoption
Autonomy to design, build, and scale modern data architecture
A forward-thinking, collaborative, and tech-driven culture
Access to the latest tools and technologies in the data ecosystem
Location: Chennai
Experience: 10-15 Years | Full-Time | Work From Office