Data Architect

Nextpower

Hyderabad

On-site

INR 1,500,000 - 2,500,000

Full time

14 days+

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Job summary

Nextpower is seeking an experienced Data Architect to design and implement data and ETL strategies. The successful candidate will leverage cloud technologies and data modeling techniques to optimize data management across various systems. Ideal for individuals with over 15 years of experience ensuring data quality and performance.

Responsibilities include developing data pipelines, integrating data sources, and collaborating with cross-functional teams for data-driven decisions.

Qualifications

15+ years of experience in data architecture principles.
10 years in analytics and system development.
High proficiency in SQL and database management.

Responsibilities

Design and implement data pipelines for data ingestion, transformation, and loading (ETL/ELT).
Optimize data flow for performance and scalability.
Monitor data quality and performance metrics.

Skills

Data modeling concepts (dimensional, star schema, snowflake)

Proficient in SQL (6+ years of experience)

Experience with Azure ADLS Blobs

Experience with data visualization tools (Power BI)

Strong communication and collaboration skills

Education

Bachelor’s degree in mathematics, statistics, economics, engineering, or related business/analytical discipline

Tools

Oracle SQL

Azure Data Factory

Cloud databases (Redshift, Synapse, Snowflake, Firebolt)

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.

Responsibilities

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

Deep understanding of data modeling concepts (dimensional, star schema, snowflake)
Proficient in SQL (6+ years of experience)
Experience with Oracle SQL, relational databases, stored procedures, materialized views
Experience with Azure ADLS Blobs, Azure Data Factory
Knowledge of Python and data visualization tools such as Power BI is a plus
Experience with cloud databases like Redshift, Synapse, Snowflake, Firebolt
Familiarity with data quality tools and techniques
Strong communication and collaboration skills
Analytical and problem‑solving abilities

Minimum Qualifications

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

Preferred Qualifications