Data Architect

Role Overview

Must have experiance in Regulatory Domain with some exp in VEEVA

Required Experience:

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.
 

Technical Skills:

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).
 

Experience with advanced analytics and machine learning platforms is a plus.
 

Knowledge of data lake architecture and working with real-time streaming data solutions (e.g., Kafka, Kinesis) is highly desirable.
 

Preferred Qualifications:

Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field.
 

Certifications such as AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, or Microsoft Certified Azure Data Engineer.
 

Strong problem-solving and analytical thinking with experience in delivering strategic data solutions.
 

Excellent communication skills to interact with both technical and non-technical stakeholders.
 

Experience with Agile methodologies and data engineering best practices.