Job Summary

We are looking for a highly skilled and experienced Data Architect to join our team. The ideal candidate will have a deep understanding of big data technologies and experience working with Hadoop, Python, Snowflake, and Databricks. As a Data Architect, you will be responsible for designing, implementing, and managing complex data architectures that support our business needs and objectives.

Key Responsibilities

- Design and Architecture:

- Design scalable and effective data architecture solutions to meet the businesss current and future data needs.

- Lead the development of data models, schemas, and databases that align with business requirements.

- Architect and implement solutions on cloud platforms such as AWS, Azure, or GCP.

- Data Management:

- Develop and maintain data pipelines and ETL processes using Hadoop, Databricks, and other tools.

- Oversee data integration and data quality efforts to ensure data consistency and reliability across the organization.

- Implement data governance and best practices for data security, privacy, and compliance.

- Collaboration and Leadership:

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

- Provide technical leadership and mentorship to junior data engineers and architects.

- Collaborate with cross-functional teams to ensure data solutions align with business goals.

- Optimization and Performance:

- Optimize existing data architectures for performance, scalability, and cost-efficiency.





- Monitor and troubleshoot data systems to ensure high availability and reliability.

- Continuously evaluate and recommend new tools and technologies to improve data architecture.

Qualifications

- Bachelors degree in Computer Science, Information Technology, or a related field. A Masters degree is preferred.

- 10+ years of experience in data architecture, data engineering, or a related field.

- Proven experience with Hadoop ecosystems (HDFS, MapReduce, Hive, HBase).

- Strong programming skills in Python for data processing and automation.

- Hands-on experience with Snowflake and Databricks for data warehousing and analytics.

- Experience with cloud platforms (AWS, Azure, GCP) and their data services.

- Familiarity with data modeling tools and methodologies.

Skills

- Deep understanding of big data technologies and distributed computing.

- Strong problem-solving skills and the ability to design solutions to complex data challenges.

- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

- Knowledge of SQL and database performance tuning.

- Experience with CI/CD pipelines and automation in data environments.

Preferred Qualifications

- Certification in cloud platforms such as AWS Certified Data Analytics, Google Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate.

- Experience with additional programming languages like Java or Scala.

- Knowledge of machine learning frameworks and their integration with data pipelines

📌 Data Architect (Bengaluru)
🏢 Growtharc Technologies
📍 Bengaluru