Data Architect Job in Growtharc

Position: Data Architect

Location: Remote/Hybrid | Bengaluru, IND

We're searching for a highly skilled and experienced Data Architect to join our team. If you have a deep understanding of big data technologies and extensive experience with Hadoop, Python, Snowflake, and Databricks, you're the ideal candidate. You'll be responsible for designing, implementing, and managing complex data architectures that support our critical business needs and objectives.

What You'll Do:

Design & Architecture Leadership:

• Design scalable and efficient data architecture solutions that meet current and future business data needs.
• Lead the development of data models, schemas, and databases, ensuring alignment with business requirements.
• Architect and implement robust data solutions on leading cloud platforms (AWS, Azure, or GCP).

Data Management & Governance:

• Develop and maintain robust data pipelines and ETL processes using Hadoop, Databricks, and other essential tools.
• Oversee data integration and quality efforts to ensure consistency and reliability across the organization.
• Implement data governance best practices, focusing on data security, privacy, and compliance.

Collaboration & Mentorship:

• Work closely with data engineers, data scientists, and business stakeholders to translate data requirements into effective technical solutions.
• Provide technical leadership and mentorship to junior data engineers and architects.
• Collaborate with cross-functional teams to ensure data solutions align perfectly with overall business goals.

Optimization & Innovation:

• Optimize existing data architectures for peak 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 our data architecture.

What You'll Bring:

• Experience: 10+ years in data architecture, data engineering, or a related field.
• Big Data Expertise: Proven experience with Hadoop ecosystems (HDFS, MapReduce, Hive, HBase).
• Programming Prowess: Strong programming skills in Python for data processing and automation.
• Data Platform Mastery: Hands-on experience with Snowflake for data warehousing and Databricks for analytics.
• Cloud Fluency: Extensive experience with cloud platforms (AWS, Azure, GCP) and their data services.
• Data Modeling: Familiarity with data modeling tools and methodologies.
• Core Skills:
  • Deep understanding of big data technologies and distributed computing.
  • Strong problem-solving skills to design solutions for complex data challenges.
  • Excellent communication skills, able to explain complex technical concepts clearly to diverse audiences.
  • Proficient in SQL and database performance tuning.
  • Experience with CI/CD pipelines and automation in data environments.
• Education: Bachelor's degree in Computer Science, Information Technology, or a related field.

Preferred Qualifications:

• Advanced Degree: A Master's degree in a related field.
• Cloud Certifications: Certifications like AWS Certified Data Analytics, Google Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate.
• Additional Languages: Experience with other programming languages like Java or Scala.
• Machine Learning Integration: Knowledge of machine learning frameworks and their integration with data pipelines.