Data Architect

TymblHub; India; On-site; INR 3,000,000 - 4,500,000; Full time

Job summary

TymblHub is seeking a seasoned Data Architect to design and lead enterprise-scale data architectures in a cloud-first environment. You will define standards, model complex data schemas, and drive data pipelines across warehouses, lakes, and lakehouses.

You will collaborate with data engineers, BI teams, and cloud specialists to ensure scalable, secure, and compliant data platforms supporting analytics, ML, and real-time insights. Strong leadership and communication are essential.

Qualifications

• 5–10 years of experience in data architecture, data engineering, BI, or enterprise data management.
• Experience designing enterprise-scale data architectures and platforms.
• Strong expertise in data modeling, dimensional modeling, data warehousing, data lakes, and lakehouse architectures.
• Advanced SQL skills and hands-on work with relational databases (PostgreSQL, MySQL, SQL Server, Oracle).
• Experience with NoSQL databases (MongoDB, Cassandra, DynamoDB).
• Hands-on experience with AWS, Azure, or GCP cloud data platforms.

Responsibilities

• Design and lead scalable, secure data architectures aligned with business objectives.
• Define data architecture standards, principles, and roadmaps.
• Translate requirements into data models, platforms, and integration solutions.
• Develop data warehouses, lakes, and lakehouses on cloud platforms.
• Architect data pipelines (ETL/ELT and real-time streaming) and data integration across systems.
• Establish data governance, quality, lineage, and master data management practices.
• Ensure security, access controls, encryption, and privacy compliance in data architectures.
• Mentor engineers and collaborate with BI, data science, and cloud teams.

Skills

Data modeling

Data governance

SQL proficiency

Cloud data platforms

ETL/ELT

Architectural leadership

Performance tuning

Stakeholder management

Education

Bachelor's degree in Computer Science / IT / Data Science

Tools

Snowflake

Databricks

BigQuery

Redshift

Azure Synapse

Kafka

Airflow

dbt

Spark

PostgreSQL

MySQL

MongoDB

Job description

# Data ArchitectGood co IndiaGPosted on October 6, 2026---Experience5 - 10 yrsSalary (CTC)₹30L - ₹45LJob LocationIndiaVacancy1DesignationData ArchitectJob TypeNot specified---## Job Description**Role & responsibilities*** Design and lead enterprise data architectures that are scalable, secure, reliable, and aligned with business objectives.* Define data architecture strategies, standards, principles, and technology roadmaps.* Translate business requirements into data models, data platforms, integration architectures, and technical solutions.* Design and implement data warehouses, data lakes, lakehouses, and modern cloud-based data platforms.* Develop logical, physical, conceptual, and dimensional data models.* Design batch and real-time data pipelines using ETL/ELT and streaming technologies.* Architect data integration solutions across databases, applications, APIs, cloud platforms, and third-party systems.* Establish data governance, data quality, metadata management, data lineage, and master data management practices.* Design secure data architectures incorporating access controls, encryption, privacy, compliance, and data-protection standards.* Optimize data platforms for performance, scalability, availability, reliability, and cost efficiency.* Lead data migration, modernization, and cloud transformation initiatives.* Evaluate and recommend data technologies, tools, platforms, and architectural patterns.* Collaborate with data engineers, software engineers, BI teams, data scientists, cloud teams, security, and business stakeholders.* Conduct architecture reviews, data-model reviews, technology assessments, and performance evaluations.* Establish standards for data integration, storage, processing, retention, and lifecycle management.* Ensure data platforms support analytics, reporting, machine learning, and real-time business requirements.* Maintain data architecture documentation, data models, lineage diagrams, technical specifications, and standards.* Mentor data engineers and architects and provide technical leadership across data initiatives.**Preferred candidate profile*** 5 to 10 years of experience in data engineering, database development, data architecture, BI, or enterprise data management.* Proven experience designing and implementing enterprise-scale data architectures and platforms.* Strong expertise in data modeling, dimensional modeling, data warehousing, data lakes, and lakehouse architectures.* Advanced SQL skills and strong experience with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.* Experience with NoSQL databases such as MongoDB, Cassandra, DynamoDB, or similar technologies.* Hands-on experience with cloud data platforms such as AWS, Azure, or GCP.* Experience with modern data platforms and technologies such as Snowflake, Databricks, BigQuery, Redshift, or Azure Synapse.* Strong knowledge of ETL/ELT, data integration, batch processing, and real-time/streaming architectures.* Experience with Apache Spark, Kafka, Airflow, dbt, or similar data engineering technologies.* Strong understanding of data governance, data quality, metadata, data lineage, master data management, and data security.* Experience designing secure and compliant data architectures with appropriate access controls, encryption, and privacy mechanisms.* Knowledge of BI and analytics platforms such as Power BI, Tableau, or equivalent tools.* Experience leading data migration, modernization, cloud adoption, and large-scale data transformation projects.* Strong understanding of distributed systems, scalability, performance optimization, and cloud cost management.* Strong analytical, problem-solving, communication, documentation, and stakeholder-management skills.* Ability to provide technical leadership and mentor data engineers and development teams.* Bachelor's degree in Computer Science, Information Technology, Data Science, Computer Engineering, Statistics, Mathematics, or a related field; Master's degree is an advantage.* Relevant certifications such as AWS Data Engineer, Google Professional Data Engineer, Microsoft Azure Data Engineer, Databricks, Snowflake, or DAMA CDMP are preferred.