Principal Data Architect

Goodfit; Bengaluru; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Goodfit seeks a senior Data Architect to design and implement an enterprise-scale data platform in Bengaluru. You will drive end-to-end data architecture, modeling, and governance, and lead Databricks-based Lakehouse initiatives with Azure and AWS.

Responsibilities include collaborating with stakeholders, defining data strategies, and ensuring security, quality, and performance. The role requires 8+ years of experience and strong leadership in data engineering disciplines.

Qualifications

• 8+ years of experience in Data Engineering/Data Architecture.
• Strong experience with Databricks, Delta Lake, Unity Catalog, and Lakehouse Architecture.
• Expertise in Spark, PySpark, SQL, and distributed data processing.
• Experience designing large-scale data platforms handling 500GB+ to TB scale.
• Strong knowledge of Azure Data Services (ADLS, Data Factory, Synapse) or AWS Data Services.
• Experience with Data Modeling, Data Warehousing, and Data Governance.
• Knowledge of CI/CD, DevOps practices, and cloud-native architectures.

Responsibilities

• Design and implement end-to-end data architecture for enterprise-scale data platforms.
• Define data models, data integration strategies, and governance frameworks.
• Architect and optimize Data Lake and Lakehouse solutions using Databricks.
• Collaborate with business stakeholders, engineering teams, and leadership to translate business requirements into technical solutions.
• Establish best practices for data security, quality, scalability, and performance.
• Design and implement ETL/ELT pipelines using Spark/PySpark.
• Drive cloud data architecture initiatives on Azure and/or AWS.
• Lead architecture reviews and provide technical guidance to engineering teams.
• Implement data governance, metadata management, and lineage solutions.

Skills

Databricks

Delta Lake

Unity Catalog

Lakehouse Architecture

Spark

PySpark

SQL

Data Modeling

Data Warehousing

Data Governance

Azure Data Services

Data Factory

Synapse

AWS Data Services

Tools

CI/CD

DevOps

Cloud-native architectures

Job description

Key Responsibilities

Design and implement end-to-end data architecture for enterprise-scale data platforms.

Define data models, data integration strategies, and governance frameworks.

Architect and optimize Data Lake and Lakehouse solutions using Databricks.

Collaborate with business stakeholders, engineering teams, and leadership to translate

business requirements into technical solutions.

Establish best practices for data security, quality, scalability, and performance.

Design and implement ETL/ELT pipelines using Spark/PySpark.

Drive cloud data architecture initiatives on Azure and/or AWS.

Lead architecture reviews and provide technical guidance to engineering teams.

Implement data governance, metadata management, and lineage solutions.

Required Skills

8+ years of experience in Data Engineering/Data Architecture.

Strong experience with Databricks, Delta Lake, Unity Catalog, and Lakehouse Architecture.

Expertise in Spark, PySpark, SQL, and distributed data processing.

Experience designing large-scale data platforms handling high-volume data (500GB+ to TB

scale).

Strong knowledge of Azure Data Services (ADLS, Data Factory, Synapse) or AWS Data

Services.

Experience with Data Modeling, Data Warehousing, and Data Governance.

Knowledge of CI/CD, DevOps practices, and cloud-native architectures.

Preferred Qualifications

Experience building data platforms from scratch.

Experience working with Databricks Partner organizations.

Databricks, Azure, or AWS certifications.

Strong stakeholder management and leadership skills.

Nice to Have

Experience with real-time streaming technologies (Kafka, Event Hubs).

Exposure to AI/ML data platforms and MLOps.

Knowledge of data cataloging and governance tools.