Job Title : Data Architect

Location : Mumbai (Remote Applications Accepted)

Job Type : Full-Time

Experience : 8 - 12 Years (Preferred)

About the Role :

We are seeking an experienced Data Architect to lead the design, implementation, and governance of enterprise data platforms. The ideal candidate will be responsible for defining data architecture standards, modernizing data ecosystems, and building scalable, secure, and high-performing data solutions. You will work closely with business stakeholders, data engineers, analysts, and technology teams to develop enterprise-wide data strategies that support analytics, reporting, and digital transformation initiatives.

Key Responsibilities :

- Define and establish enterprise data architecture standards, frameworks, and governance models.
- Design and implement scalable data warehouses, data lakes, and enterprise data platforms.
- Architect and deliver enterprise data platform projects and modernization initiatives.
- Evaluate existing data architecture and recommend improvements for ETL, ELT, APIs, ESB, and data virtualization.
- Develop enterprise data roadmaps, future-state architecture, and technical documentation.
- Design and maintain logical and physical data models for enterprise applications.
- Oversee the implementation and maintenance of databases, data warehouses, data lakes, and metadata repositories.
- Define and enforce data governance, data quality, security, privacy, and access control standards.
- Lead data migration projects from legacy systems to modern cloud or hybrid platforms.
- Integrate data from multiple enterprise systems and third-party applications.




- Collaborate with business, analytics, and engineering teams to deliver reliable data solutions.
- Participate in architecture review boards and evaluate data technologies, analytics platforms, and COTS solutions.
- Research emerging data technologies and recommend process improvements and best practices.
- Mentor technical teams and provide architectural guidance throughout the project lifecycle.

Required Skills :

- Strong experience in Data Architecture and enterprise data platform design.
- Expertise in Data Modeling (Logical, Physical, and Dimensional Modeling).
- Experience with Data Warehousing (DWH) concepts and architectures.
- Hands-on experience with ETL/ELT tools and data integration.
- Strong understanding of Data Engineering principles.
- Knowledge of relational and NoSQL databases.
- Experience with Metadata Management and enterprise data catalogs.
- Expertise in Data Governance, data quality, and master data management.
- Experience with Data Virtualization and modern data fabric concepts.
- Strong SQL and database optimization skills.
- Experience designing scalable cloud-based data platforms.
- Excellent analytical, troubleshooting, and communication skills.

Preferred Skills :

- Experience with AWS, Azure,



or Google Cloud Platform (GCP) data services.
- Knowledge of big data technologies such as Spark, Hadoop, or Databricks.
- Experience with API integration and Enterprise Service Bus (ESB).
- Familiarity with data visualization and analytics platforms such as Power BI or Tableau.
- Experience with DevOps and CI/CD for data engineering workflows.
- Knowledge of data security, privacy regulations, and compliance standards.

Educational Qualification :

BE/B.Tech in Computer Science, Computer Science &

- Engineering, Information Technology, Software Engineering, Electronics &
- Communication Engineering, or an equivalent discipline.

OR

MCA, M.Tech, or M.Sc. in Computer Science, Computer Science &

- Engineering, Information Technology, or Electronics &
- Communication Engineering from a recognized University/Institute.

Desirable :

MBA as an additional qualification is preferred.

Preferred Certifications :

- AWS Certified Data Analytics Specialty
- Microsoft Certified : Azure Data Engineer Associate
- Google Professional Data Engineer
- Snowflake Certification (Preferred)
- Databricks Certified Data Engineer (Preferred)

Key Competencies :

- Strong leadership and enterprise architecture skills.
- Excellent analytical and problem-solving abilities.
- Effective communication and stakeholder management.
- Strategic thinking with the ability to align data initiatives with business objectives.
- Ability to mentor teams and establish data architecture best practices.
- Solid documentation and governance capabilities.

📌 Data Architect - ETL Tools (India)
🏢 Job Jaankar
📍 India