Data Architect Job in Growtharc Technologies

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 efficient data architecture solutions to meet the business's 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:

• Bachelor's degree in Computer Science, Information Technology, or a related field. A Master's 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