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Urgent! Data Architect -- Long Term Contract -- Hybrid in Houston, TX Job Opening In Houston – Now Hiring Lorven Technologies

Data Architect Long Term Contract Hybrid in Houston, TX



Job description

Job Title: Data Architect (Energy Domain is Mandatory)

Location: Hybrid in Houston, TX

Duration: Long Term Contract

We are seeking a highly skilled and experienced Data Architect with extensive experience in Snowflake and Databricks.

The ideal candidate will have a strong background data migration from RDBMS to Snowflake and Databricks, and a deep understanding of modern data architecture principles.

You will need to partner with end-users to understand process, requirements and analyze problems to design solutions and ultimately deliver tangible business value & benefit.

Key responsibilities:

  • Design, develop, and implement robust data architecture solutions utilizing modern day data platforms like Snowflake and Databricks.
  • Ensure scalable, reliable, and secure data environments that meet business requirements and support advanced analytics.
  • Lead the migration of data from traditional RDBMS systems to Snowflake and Databricks environments.
  • Architect and design scalable data pipelines and infrastructure to support the organization's data needs.
  • Develop and manage ETL processes using Snowflake and Databricks to ensure efficient data extraction, transformation, and loading.
  • Optimize ETL workflows to enhance performance and maintain data integrity.
  • Ensure seamless data transition with minimal disruption to ongoing operations.
  • Monitor and optimize performance of data systems to ensure reliability, scalability, and cost-effectiveness within Snowflake and Databricks environments.
  • Collaborate with cross-functional teams, including data engineers, data scientists, analysts, and product managers, to understand data requirements and deliver solutions.
  • Define best practices and standards for data engineering/data warehouse processes and ensure adherence to them.
  • Evaluate and implement new technologies and tools to improve the efficiency and effectiveness of data pipelines.
  • Provide technical leadership and mentorship to junior members of the data engineering team.
  • Work closely with DevOps and infrastructure teams to deploy and manage data systems in production environments.
  • Ensure that all data solutions comply with organizational policies, industry standards, and regulatory requirements.
  • Collaborate with enterprise architects and IT leadership to ensure alignment of data architecture with overall IT architecture and strategies.
  • Skill and Experience:

  • BS or MS in Computer Science or relevant experience.
  • Extensive experience with Snowflake and Databricks, including ETL processes and data migration.
  • Certifications in Snowflake and/or Databricks.
  • Experience with additional cloud platforms like AWS, Azure, or GCP.
  • Knowledge of big data technologies and frameworks.
  • Strong knowledge of data warehousing concepts, data modeling, and SQL.
  • Experience with RDBMS systems and transitioning data to modern cloud platforms.
  • Proficiency in programming languages such as Python, SQL, and scripting languages.
  • Knowledge of data governance frameworks, data quality management practices, and data security principles
  • Proficiency in database technologies, including relational databases ., SQL Server.

    In-depth knowledge of data modeling, database design.
  • Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes.
  • Excellent problem-solving and analytical skills.

    Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.

  • Required Skill Profession

    Computer Occupations



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