Data Architect
- CGI
- 8 - 12 years
- Hyderabad
- 29 days ago
- Email to a friend
- Report this job
Job Description
Job Title: Data Architect / Data Modeler
Experience Level: 8+ Years
Location: Hyderabad
Job Summary
We are seeking a highly experienced Data Architect to join our growing Data & Analytics team. This role demands a strategic thinker and technical expert who can design and build robust, scalable, and efficient data solutions. You will play a critical role in architecting end-to-end data pipelines, designing optimized data models, and delivering business-centric data infrastructure using cutting-edge technologies such as Python, PySpark, SQL, Snowflake, and/or Databricks.
The ideal candidate will have a deep understanding of data engineering best practices and a proven track record of enabling data-driven decision-making through innovative and scalable data solutions.
Key Responsibilities
- Architect & Design Scalable Data Pipelines
Lead the design and implementation of high-performance, scalable, and maintainable data pipelines that support batch and real-time processing. - Data Modeling & Data Architecture
Design and implement optimized data models and database schemas to support analytics, reporting, and machine learning use cases. - Cloud Data Platforms
Develop and manage modern cloud-based data architectures using platforms like Snowflake or Databricks, ensuring performance, security, and cost-efficiency. - Data Integration & ETL Development
Build robust ETL/ELT workflows to ingest, transform, and provision data from a variety of internal and external sources. - Collaboration with Stakeholders
Work closely with data analysts, data scientists, product managers, and business leaders to translate business requirements into technical specifications and data solutions. - Data Quality & Governance
Implement and advocate for best practices in data quality, security, compliance, lineage, and governance. - Performance Optimization
Optimize data storage and query performance using advanced SQL, partitioning, indexing, caching strategies, and compute resource tuning. - Mentorship & Best Practices
Provide mentorship to junior engineers, establish coding standards, and contribute to the growth and maturity of the data engineering practice.
Required Qualifications
- Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related field.
- 8+ years of experience in data engineering or related roles.
- Strong expertise in Python and PySpark for data processing and transformation.
- Proficient in advanced SQL with a deep understanding of query optimization and performance tuning.
- Hands-on experience with Snowflake and/or Databricks in a production environment.
- Experience in designing and implementing data warehouses and data lakes.
- Solid understanding of distributed computing frameworks, big data ecosystems, and modern data architecture patterns.
- Experience with CI/CD, version control systems (e.g., Git), and workflow orchestration tools (e.g., Airflow, dbt, etc.).
- Strong communication skills with the ability to clearly articulate technical concepts to non-technical stakeholders.Role & responsibilities
Preferred candidate profile
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: CGILocation(s): Hyderabad
Keyskills: python pyspark sql snowflake Data Architecture
Similar positions
Job Listings
We are in open beta version of website, please let us know if any issues, at: info(at)indigojobs.in