Data Architect

Pune - India

Monthly Salary: Not Disclosed

Experience Required: 15-22years

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

About the Role

We are looking for an experienced Data Architect to lead the design and implementation of scalable secure and high-performance data solutions. The ideal candidate will have a strong background in data architecture cloud platforms and modern data frameworks with the ability to guide clients and teams in building next-generation data platforms.

Key Responsibilities

Lead end-to-end design and architecture of enterprise-scale data solutions across cloud and hybrid environments.
Define and implement data strategies governance and architecture best practices aligned to business needs.
Architect and optimize data pipelines ETL/ELT frameworks and real-time data processing solutions.
Provide technical leadership for building data lakes warehouses and advanced analytics platforms.
Collaborate with business stakeholders product owners and engineering teams to translate requirements into scalable solutions.
Evaluate and recommend tools frameworks and cloud-native services for data integration storage and consumption.
Ensure data security compliance and governance practices are embedded in all solutions.
Mentor teams on modern data architecture patterns including data mesh and domain-driven data ownership.
Act as a trusted client advisor by presenting solution designs conducting workshops and driving architecture discussions.

Requirements

Required Skills & Experience

15 22 years of IT experience with a minimum of 5 years in data architecture roles.
Strong expertise in data processing frameworks and ETL/ELT pipeline development.
Proven experience in architecting and deploying solutions on AWS and Azure cloud platforms.
Hands-on expertise in data integration real-time streaming and API-based data access.
Proficiency in data modelling (structured semi-structured and unstructured).
Deep understanding of data lakes data warehouses and modern data architecture patterns (data mesh lakehouse etc.).
Experience with tools such as Apache Airflow AWS Glue Databricks Azure Synapse Redshift or equivalent.
Knowledge of data security compliance and governance in large-scale enterprise environments.
Excellent leadership stakeholder management and communication skills with experience in client-facing roles.

Good to Have

Exposure to AI/ML data pipelines and advanced analytics platforms.
Experience in multi-cloud environments and hybrid data architectures.
Knowledge of emerging trends in data observability data fabric and metadata management.

Benefits

Standard Company Benefits

Why Join Us

Opportunity to work on cutting-edge enterprise data transformation programs.
Collaborate with global clients across diverse industries.
Be a thought leader and drive innovation in modern data architecture.

AWS, data modelling, data ware house, data mesh

Education

Bachelor s or Master s degree in Computer Science, Engineering, Mathematics, or a related field.

About the Role We are looking for an experienced Data Architect to lead the design and implementation of scalable secure and high-performance data solutions. The ideal candidate will have a strong background in data architecture cloud platforms and modern data frameworks with the ability to guide cl...

About the Role

Key Responsibilities

Lead end-to-end design and architecture of enterprise-scale data solutions across cloud and hybrid environments.
Define and implement data strategies governance and architecture best practices aligned to business needs.
Architect and optimize data pipelines ETL/ELT frameworks and real-time data processing solutions.
Provide technical leadership for building data lakes warehouses and advanced analytics platforms.
Collaborate with business stakeholders product owners and engineering teams to translate requirements into scalable solutions.
Evaluate and recommend tools frameworks and cloud-native services for data integration storage and consumption.
Ensure data security compliance and governance practices are embedded in all solutions.
Mentor teams on modern data architecture patterns including data mesh and domain-driven data ownership.
Act as a trusted client advisor by presenting solution designs conducting workshops and driving architecture discussions.

Requirements

Required Skills & Experience

15 22 years of IT experience with a minimum of 5 years in data architecture roles.
Strong expertise in data processing frameworks and ETL/ELT pipeline development.
Proven experience in architecting and deploying solutions on AWS and Azure cloud platforms.
Hands-on expertise in data integration real-time streaming and API-based data access.
Proficiency in data modelling (structured semi-structured and unstructured).
Deep understanding of data lakes data warehouses and modern data architecture patterns (data mesh lakehouse etc.).
Experience with tools such as Apache Airflow AWS Glue Databricks Azure Synapse Redshift or equivalent.
Knowledge of data security compliance and governance in large-scale enterprise environments.
Excellent leadership stakeholder management and communication skills with experience in client-facing roles.

Good to Have

Exposure to AI/ML data pipelines and advanced analytics platforms.
Experience in multi-cloud environments and hybrid data architectures.
Knowledge of emerging trends in data observability data fabric and metadata management.