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Data Architect @ Growtharc Technologies

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 Data Architect

Job Description

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 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

Job Classification

Industry: Management Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: DBA / Data warehousing
Role: Database Architect / Designer
Employement Type: Full time

Contact Details:

Company: Growtharc Technologies
Location(s): Bengaluru

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Keyskills:   Computer science Performance tuning Automation Data management Data modeling Machine learning microsoft Information technology SQL Python

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Growtharc Technologies

Overview Where Strategy Meets Action! GrowthArc empowers growth-focused companies to seamlessly scale by envisioning their business-technology canvas through an architecture-led approach, powered by platforms, data and AI. Simplify execution complexities by leveraging evolutionary architecture al...