29 Database Manager jobs in Indore

Key Responsibilities:

• Design, develop, and optimize scalable data pipelines and workflows using Databricks and Apache Spark on AWS.
• Collaborate with data scientists, analysts, and other stakeholders to transform data into actionable insights.
• Implement data ingestion processes from various sources including S3, RDS, Redshift, and external APIs.
• Optimize Spark jobs for performance and cost efficiency.
• Monitor and troubleshoot data workflows, ensuring data quality and integrity.
• Automate deployment and orchestration of data pipelines using AWS services like Lambda, Step Functions, or Glue.
• Maintain security and governance standards in cloud data environments.
• Document processes, data lineage, and architecture designs.

Greetings from TCS Human Resources Team!

Skill: GCP Data Architect

Years of experience: 8 to 10 Years

Location: PAN India

Mandatory Skills:*

- *Python*: Programming language

- *Airflow*: Data pipeline orchestration

- *Spark*: Big data processing

- *SQL*: Database querying

- *Data Form & DBT*: Data architecture and modeling

- *Architecture Design*: Scalable data solutions

Design and implement scalable data architectures on GCP, leveraging these key skills.

About the Job

We are seeking a highly skilled and strategic Data Architect to design, develop, and manage the organisation’s data architecture. The ideal candidate will ensure that data assets are structured, integrated, and governed to support analytics, reporting, and business intelligence initiatives across the enterprise. This role will work closely with business stakeholders, data engineers, analysts, and IT teams to ensure data is accurate, secure, scalable, and aligned with organisational goals.

Core Responsibilities

Data Strategy & Architecture

- Define and maintain the enterprise data architecture, ensuring alignment with business strategy and technology standards.

- Design data models, databases, and integration patterns that enable high-quality reporting and analytics.

- Establish standards for data storage, retrieval, transformation, and integration across systems.

Data Governance & Quality

- Develop and enforce policies for data governance, security, and compliance (e.g., HIPAA, GDPR, CCPA as applicable).

- Implement data quality frameworks to ensure accuracy, consistency, and completeness of information.

Collaboration & Leadership

- Partner with cross-functional teams (business, engineering, analytics, IT) to understand requirements and translate them into scalable data solutions.

- Provide technical leadership and mentorship to data engineers and developers.

- Collaborate with stakeholders to define metadata, master data management, and data lineage practices.

Technology & Innovation

- Evaluate and recommend modern data management tools, cloud platforms, and emerging technologies.

- Lead initiatives in data modernization, cloud migration, and big data/AI integration.

- Ensure high performance and scalability of enterprise data platforms.

Required Skills

- Experience with Azure Data Services (Azure Fabric, Azure Data Factory, Azure Synapse, Azure Data Lake).

- Knowledge of data security and compliance frameworks.

- Experience supporting AI/ML initiatives through data readiness.

- Prior experience in the retail or healthcare industry is a plus.

Qualifications

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

- Proven experience (10+ years) in data architecture, database design, and data modeling.

- Strong expertise with SQL, NoSQL, ETL tools, and cloud data platforms (Azure, AWS, or GCP).

- Hands-on experience with data integration, APIs, data lakes, and data warehouses.

- Knowledge of data governance, master data management, and metadata management.

- Familiarity with analytics, BI tools (e.g., Power BI, Tableau), and reporting frameworks.

- Strong problem-solving, analytical, and communication skills.

Job Opportunity: Senior Data Architect (15+ Years Experience)

We are looking for a seasoned Data Architect to lead and shape enterprise-wide data initiatives. This role requires a strategic leader with deep technical expertise and strong stakeholder management skills.

Key Responsibilities

• Act as the architectural authority for Data Integration, Data Governance, and MDM programs.
• Define and oversee High-Level and Low-Level Solution Designs across business, application, and data domains.
• Lead solution roadmaps covering as-is vs. to-be states, business value realization, and scalability.
• Partner with business stakeholders, project managers, and engineering teams to ensure alignment of IT solutions with business needs.
• Provide leadership and direction to teams while ensuring governance and delivery success.
• Engage in presales activities to support the Data & Analytics Center of Excellence.

Required Qualifications

• 15+ years of experience in Data Engineering & Architecture roles.
• Bachelor’s degree in Computer Science, Engineering, or related field.
• Proven expertise in Data Integration, Data Governance, and Master Data Management (MDM).
• Strong knowledge of data modeling, governance, flows, quality, security, privacy, scalability, and performance.
• Excellent stakeholder management and communication skills, with the ability to influence at senior levels.
• Demonstrated leadership experience guiding teams and ensuring delivery of large-scale data programs.

Location: Kochi/ Remote

Please note: We are looking for early joiners.

Interested, Share your resume to

Job Title :- GCP Data Architect

Experience: 7 to 12 years

Location: Pan India

Virtual Drive : 10am to 4pm

Date: 11th Oct 2025

Greetings from TCS!

Job Description:

• Design and Implement Data Architectures: Architect and build scalable, end-to-end data solutions on GCP, encompassing data ingestion, transformation, storage, and consumption.
• Develop Data Pipelines: Design and develop ETL/ELT data pipelines using tools like Apache Airflow (Cloud Composer) and programming languages such as Python and SQL for batch and real-time processing.
• Create Data Models: Build logical and physical data models, including dimensional modelling and schema design, to support data warehousing, data lakes, and analytics.
• Ensure Data Quality and Governance: Establish and enforce data governance, security, and quality standards, implementing data validation and testing procedures.
• Collaborate with Stakeholders: Work with data engineers, business analysts, data scientists, and product owners to translate business requirements into technical data solutions.
• Optimize GCP Services: Optimize the performance and cost-effectiveness of GCP services, particularly Big Query, for analytics and data storage.
• Provide Technical Guidance: Lead architectural reviews, provide technical guidance on cloud-native data strategies, and mentor engineering teams on GCP best practices.

Required Skills and Knowledge

• Google Cloud Platform (GCP): Expertise with GCP services like BigQuery, Cloud Storage, Cloud SQL, and Cloud Composer.
• Data Modelling: Proficiency in designing data models for data warehouses and data lakes.
• ETL/ELT: Experience with designing and building data pipelines using tools like Apache Airflow.
• Programming: Strong skills in SQL and Python for data processing and development.
• Data Governance: Understanding and ability to implement data governance, metadata management, and security policies.
• Collaboration: Strong communication skills to work with cross-functional teams and explain complex technical concepts.

Position: Principal/ Senior Data Architect

Desired experience: 10+ years

Your team

You will act as a key member of the consulting team helping Clients to re-invent their corporate finance function by leveraging advanced analytics. You will be closely working directly with senior stakeholders of the clients designing and implementing data strategy in finance space which includes multiple use cases viz. controllership, FP&A and GPO. You will be responsible for developing technical solutions to deliver scalable analytical solutions leveraging cloud and big data technologies. You will also collaborate with Business Consultants and Product Owners to design and implement technical solutions. Communication and organisation skills are keys for this position.

Aays is a fast growing analytics consulting firm. We are solving some of the most complex corporate finance problems faced by large and fast growing companies in the world utilising big data, cloud computing and AI/ML. We are an employee first company – we firmly believe that happy employees can create happy customers and that can in turn result in a successful business. Come and join us for a life changing journey.

Responsibilities:

• Design and drive end to end data and analytics solution architecture from concept to delivery

• Design, develop, and support conceptual/logical/physical data models for analytics solutions.

• Ensures that industry-accepted data architecture principles, standards, guidelines and concepts are integrated with those of allied disciplines and coordinated roll-out and adoption strategies are in place.

• Drive the design, sizing, setup, etc. of Azure environments and related services

• Provide mentoring on data architecture design and requirements to development and business teams

• Reviews the solution requirements and architecture to ensure selection of appropriate technology, efficient use of resources and integration of multiple systems and technology.

• Advising on new technology trends and possible adoption to maintain competitive advantage

• Participate in pre-sales activities and publish thought leaderships

• Work closely with the founders to drive the technology strategy for the organisation

• Help and lead technology team recruitments in various areas of data analytics

Experience Needed:

• Demonstrated experience delivering multiple data solutions

• Demonstrated experience with ETL development both on-premises and in the cloud using SSIS, Data Factory, and related Microsoft and other ETL technologies.

• Demonstrated in depth skills with SQL Server, Azure Synapse, Azure Databricks, HDInsights, Azure Data Lake with the ability to configure and administrate all aspects of SQL Server.

• Demonstrated experience with different data models like normalised, de-normalized, stars, and snowflake models. Worked with transactional, temporal, time series, and structured and unstructured data.

• Data Quality Management (Microsoft DQS and other data quality and governance tools) and Data Architecture standardization experience

• Deep understanding of the operational dependencies of applications, networks, systems, security and policy (both on-premise and in the cloud; VMs, Networking, VPN (Express Route), Active Directory, Storage (Blob, etc.), Windows/Linux).

• Advanced study / knowledge in the field of computer science or software engineering along with advanced knowledge of software development and methodologies (Microsoft development lifecycle including OOP principles, Visual Studio, SDKs, PowerShell, CLI).

• Is familiar with the principles and practices involved in development and maintenance of software solutions and architectures and in-service delivery (Microsoft and Azure DevOps. Azure Automation).

• Has strong technical background and remains evergreen with technology and industry development

We are looking for 10+ years experienced Sr. Data Architect

• A minimum of 10 years of experience in data engineering, encompassing the development and scaling of data warehouse and data lake platforms.
• The candidate should possess a strong background in both Snowflake and SAP BW/ECC environments, demonstrating leadership in technical design, architecture, and implementation of complex data solutions. Understand SAP ABAP programs, reports, interfaces, and enhancements
• Working hours - 8 hours , with a few hours of overlap during EST Time zone. This overlap hours is mandatory as meetings happen during this overlap hours. Working hours will be 12 PM - 9 PM

Primary Skills :

• Extensive experience in designing and implementing data solutions using Snowflake, DBT.
• Proficiency in data modeling, schema design, and optimization within Snowflake environments.
• Strong understanding of SAP BW/ECC systems, including data extraction, transformation, and loading (ETL/ELT) processes. Experience in integrating SAP data into cloud data platforms.
• Strong understanding of cloud data warehousing concepts and best practices, particularly with Snowflake.
• Expertise in python/java/scala, SQL, ETL processes, and data integration techniques, with a focus on Snowflake.
• Familiarity with other cloud platforms and data technologies (e.g., AWS, Azure, GCP)
• Proficiency in SAP ABAP (Advanced Business Application Programming) development.
• Experience in designing, developing, and implementing SAP ABAP programs, reports, interfaces, and enhancements
• Demonstrated experience in implementing data governance frameworks and DataOps practices.
• Working experience in SAP environments

Responsibilities include:

• Mandatory Skills: Snowflake experiance, Data Architecture experiance, ETL process experiance, Large Data migration solutioning experiance.
• Lead the design and architecture of data solutions leveraging Snowflake, ensuring scalability, performance, and reliability.
• Collaborate with stakeholders to understand business requirements and translate them into technical specifications and data models.
• Develop and maintain data architecture standards, guidelines, and best practices, including data governance principles and DataOps methodologies.
• Oversee the implementation of data pipelines, ETL processes, and data governance frameworks within Snowflake environments.
• Provide technical guidance and mentorship to data engineering teams, fostering skill development and knowledge sharing.
• Conduct performance tuning and optimization of Snowflake databases and queries.
• Stay updated on emerging trends and advancements in Snowflake, cloud data technologies, data governance, and DataOps practices.

• Design and develop enterprise-level data architectures, focusing on cloud-based solutions (AWS, Azure, GCP).
• Create and maintain conceptual, logical, and physical data models for various data stores (data warehouses, data lakes, operational databases).
• Define and implement ETL/ELT processes for data ingestion, transformation, and loading.
• Establish and enforce data governance policies, standards, and best practices.
• Collaborate with business stakeholders, data engineers, and analysts to understand data requirements and deliver effective solutions.
• Evaluate and recommend new data technologies and tools to enhance data infrastructure.
• Ensure data security, privacy, and compliance with relevant regulations.
• Provide technical leadership and mentorship to data engineering teams.
• Develop and maintain comprehensive data architecture documentation.
• Troubleshoot and resolve complex data-related issues.
• Effectively communicate architectural designs and decisions to both technical and non-technical audiences within a remote team setting.

• Master's or Bachelor's degree in Computer Science, Information Technology, or a related quantitative field.
• Minimum of 8-10 years of experience in data architecture, data modeling, and data engineering.
• Proven expertise in designing and implementing solutions on major cloud platforms (AWS, Azure, or GCP).
• Strong knowledge of various database technologies (e.g., SQL, NoSQL), data warehousing concepts (e.g., Kimball, Inmon), and data lake architectures.
• Experience with big data technologies (e.g., Spark, Hadoop) and data streaming technologies (e.g., Kafka).
• Proficiency in data modeling tools and techniques.
• Excellent understanding of data governance, data quality, and data security principles.
• Strong analytical, problem-solving, and strategic thinking skills.
• Exceptional communication, collaboration, and leadership abilities.
• Experience in managing cross-functional projects in a remote environment.
• Relevant cloud certifications (e.g., AWS Certified Data Analytics – Specialty, Azure Data Engineer Associate) are a plus.

Thinkgrid Labs is at the forefront of innovation and technology. Our expert team of software engineers, architects, and UI/UX designers specialises in crafting bespoke web, mobile, cloud applications, data platforms, along with AI solutions and intelligent bots. Thinkgrid Labs is expanding our data practice to stand up Microsoft Fabric for a US health insurer . You’ll architect the platform foundation, set governance guardrails, and ensure the environment is secure, compliant, cost-efficient, and usable for everyone from execs to engineers.

Job Title : Fabric Platform Architect

Location : Remote

Working Hours : 2 PM IST to 11 PM IST

Experience Required : 8–12 years overall; 3+ years in Azure data platform governance/Fabric admin

Education : Bachelor’s or Master’s degree in Computer Science, Health Informatics, or Business.

Preferred certifications : DP-600, DP-500, AZ-305, SC-100/SC-300.

Who are you?

• Platform Architecture (Fabric or Equivalent): You’ve designed multi-tenant or multi-domain lakehouse platforms (e.g., Fabric, Databricks + ADLS/Delta, Azure Synapse, Snowflake, AWS Glue/Lake Formation, GCP BigQuery), including workspace/project topology, environment isolation, and capacity planning.
• Fabric Authority: Deep, hands-on expertise with Microsoft Fabric architecture—tenants, domains, capacity groups, workspaces, OneLake, Lakehouse/Warehouse, Real-Time Analytics.
• Governance-First: You design pragmatic guardrails for rights/roles/budgets/access; you operationalise RLS/CLS and data domains at scale.
• Catalogue & Lineage Champion: Comfortable configuring Microsoft Purview—collections, glossary, scanners, policies, and lineage end-to-end.
• Security & Compliance Mindset: Strong Entra ID/Azure IAM; you bake in HIPAA/PII controls, auditing, and least privilege by default.
• Cost-Savvy Operator: Capacity planning, workloads, reserved capacity, and FinOps reporting come naturally.
• Stakeholder Communicator: Equally at home in steering committees with execs and deep dives with engineers. (We value client-facing clarity and excellent written/verbal communication.)

What you will be doing?

• Platform Foundation (Owner): Design and configure Fabric tenants, domains, capacity groups, and workspaces; define dev/test/prod environment strategy and workspace topology.
• Governance & Access: Establish RBAC models, security groups, RLS/CLS patterns, budgeting guardrails, naming/tags, and approval workflows.
• Catalogue, Glossary & Lineage:  Stand up Purview collections; implement glossary governance, scanner rules, sensitivity labels, and end-to-end lineage across Fabric artefacts.
• Security, Privacy & Audit: Map HIPAA/PHI controls; integrate with Entra, Azure Policy, and Defender for Cloud; enable audit logs to be sent to Log Analytics and configured for retention; drive periodic access reviews.
• Cost Management & FinOps: Right-size capacity, monitor usage, forecast spend, set budgets/alerts, and recommend workload isolation or reservations to optimise TCO.
• CI/CD & Change Control: Enable source control (Git mode), deployment pipelines, and release promotion; define SOW-aligned change processes and acceptance criteria for platform changes.
• Operational Excellence: Define SLOs/alerts/runbooks, backup/DR and region strategy; lead incident/RCAs; maintain RAID and platform roadmaps.
• Enablement & Communication: Run discovery/architecture reviews, steering/QBRs, and training for analysts/engineering teams; produce clear docs, playbooks, and decision logs.

Must-have skills

• Microsoft Fabric administration (tenancy, domains, capacities, workspaces, OneLake)
• Microsoft Purview (catalogue, glossary, scans, policies, lineage)
• Azure IAM/Entra ID (RBAC, conditional access), RLS/CLS patterns
• Cost management and FinOps awareness (capacity planning, budgets, alerts)
• Excellent stakeholder communication (execs, security, data engineering)

Benefits

• 5-day work week
• 100% remote setup with flexible work culture and international exposure
• Opportunity to work on mission-critical healthcare projects impacting providers and patients globally