Redleo Software - Raritan, NJ

posted 4 days ago

Full-time
Raritan, NJ
Professional, Scientific, and Technical Services

About the position

The Data Architect role at VEEVA in Raritan, NJ, is focused on designing and optimizing data architectures and pipelines to support data management and analytics initiatives. This position requires extensive experience in data architecture, data engineering, and data management, with a strong emphasis on delivering data-driven insights to stakeholders.

Responsibilities

  • Build and optimize data pipelines and architectures.
  • Design and implement data models and database structures.
  • Integrate data from various sources and ensure data quality.
  • Analyze data and deliver insights to stakeholders.
  • Manage both structured and unstructured data effectively.
  • Utilize cloud platforms for data management and storage.
  • Ensure compliance with data governance frameworks.

Requirements

  • 10+ years of experience in data architecture, data engineering, or data management.
  • Strong experience in building and optimizing data pipelines, architectures, and data sets.
  • Proven experience in data modelling, database design, and data integration.
  • Experience with both structured (SQL) and unstructured (NoSQL, Hadoop) data management.
  • Demonstrated experience in data analysis and delivering data-driven insights to stakeholders.
  • Experience with cloud platforms for data management (e.g., AWS, Azure, Google Cloud).
  • Knowledge of data governance and compliance frameworks.
  • Proficiency with ETL tools (e.g., Talend, Informatica) and data pipeline orchestration frameworks (e.g., Apache Airflow, AWS Glue).
  • Strong SQL and Python programming skills.
  • Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) and big data technologies (e.g., Hadoop, Spark).
  • Familiarity with data analysis and visualization tools (e.g., Tableau, Power BI, Looker).

Nice-to-haves

  • Experience with advanced analytics and machine learning platforms.
  • Knowledge of data lake architecture and real-time streaming data solutions (e.g., Kafka, Kinesis).
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service