Data Architect

Nextracker; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Nextpower is seeking a Data Architect to design and develop data and ETL workloads for the NX organization, ensuring data is stored, accessed, and analyzed efficiently using advanced modeling, cloud technologies, and governance practices.

The role emphasizes collaboration with business stakeholders, data analysts, and engineers to translate requirements into scalable data solutions and data-driven decision-making.

Qualifications

• Deep understanding of data modeling concepts (dimensional, star schema, snowflake).
• Proficient in SQL with several years of experience.
• Experience with Oracle SQL or relational databases, stored procedures, materialized views.
• Experience with Azure ADLS Blobs and Azure Data Factory.
• Familiarity with Python and BI tools like Power BI is a plus.
• Knowledge of cloud data platforms (Redshift, Synapse, Snowflake, Firebolt) is advantageous.

Responsibilities

• Design and implement data pipelines for ingestion, transformation, and loading (ETL/ELT).
• Ensure seamless integration of data from disparate systems for performance and scalability.
• Leverage cloud-based data warehousing and lake solutions for storage and processing.
• Collaborate with stakeholders, analysts, scientists, and engineers to meet data needs.

Skills

Data modeling

SQL

Oracle SQL

Azure ADLS

Azure Data Factory

Python

Power BI

Cloud databases

Data governance

Education

Bachelor's degree in Math/Stats/Eng

Tools

Azure Data Factory

Azure ADLS

SQL Server

Job description

Job Description:

A Data Architect is responsible for designing, developing, data and ETL work for the NX organization. The data engineer must ensure data is efficiently stored, accessed, and analyzed by leveraging advanced data modeling techniques, cloud technologies, and data governance practices while collaborating with cross-functional teams to meet business needs and drive data-driven decision-making.

Data Integration and Pipeline Development:

Design and implement data pipelines for data ingestion, transformation, and loading (ETL/ELT) across various data sources. Ensure seamless integration of data from disparate systems and applications. Optimize data flow for performance and scalability.

Cloud Architecture and Implementation:

Leverage cloud-based data warehousing and data lake solutions (AWS, Azure, GCP) for data storage and processing. Design and implement cloud-native data architectures for scalability and cost-efficiency.

Collaboration and Leadership:

Work closely with business stakeholders, data analysts, data scientists, and data engineers to understand data requirements and translate them into technical solutions.

Performance Monitoring and Optimization:

Monitor data quality and performance metrics to identify and address data issues. Continuously optimize data pipelines and database structures for improved efficiency.

Required Skills and Experience:

• Technical Skills: Deep understanding of data modeling concepts (dimensional, star schema, snowflake).
• Must worked in SQL Query Language for “6” years – “Please decide based on the salary need”.
• Must have worked on Oracle SQL or any relational databases, stored procedures, materialized views.
• Must have worked on Azure ADLS Blobs, Azure data factory.
• Good to have knowledge in Python language.
• Good to have knowledge on Visualization tools like Power BI.
• Worked on cloud databases like redshift, synapse, snowflake, firebolt etc is a plus.
• Familiarity with data quality tools and techniques.
• Soft Skills: Strong communication and collaboration skills to work effectively with cross-functional teams.
• Analytical and problem-solving abilities to identify and resolve complex data issues.

Minimum Qualifications:

• 15+ years’ experience in data architecture principles, database technologies, and a deep understanding of industry best practices to optimize data management and scalability across the enterprise.
• 10 years in analytics and system development.
• High proficiency in SQL and database management.
• Experience in generating process documentation and reports.
• Excellent communication skills, with an ability to translate data into actionable insights.
• Knowledge of Azure SQL Database, Azure Data Factory, Oracle and MySQL and Data Transformation.
• Strong time management skills.
• Ability to deliver in a rapidly changing environment.

Preferred Qualifications:

• Knowledge of process modeling.
• Knowledge of continuous improvements.

Education & Certifications:

• Bachelor’s degree in mathematics, Statistics, Economics, Engineering, or a related business/analytical discipline.

Company Overview:

At Nextpower, we are driving the global energy transition with an integrated clean energy technology platform that combines intelligent structural, electrical, and digital solutions for utility-scale power plants. Our comprehensive portfolio enables faster project delivery, higher performance, and greater reliability, helping our customers capture the full value of solar power. Our talented worldwide teams are redefining how solar power plants are designed, built, and operated every day with smart technology, data-driven insights, and advanced automation. Together, we’re building the foundation for the world’s next generation of clean energy infrastructure. We are Nextpower At Nextpower, we are driving the global energy transition with an integrated clean energy technology platform that combines intelligent structural, electrical, and digital solutions for utility-scale power plants. Our comprehensive portfolio enables faster project delivery, higher performance, and greater reliability, helping our customers capture the full value of solar power. Our talented worldwide teams are redefining how solar power plants are designed, built, and operated every day with smart technology, data-driven insights, and advanced automation. Together, we’re building the foundation for the world’s next generation of clean energy infrastructure.