The Dignify Solutions, LLC · 4 weeks ago
Data Architect With Regulatory Domain
Raritan, NJ
Full-time
Onsite
Senior Level, Lead/Staff
10+ years expThe Dignify Solutions, LLC is seeking a Data Architect with expertise in the Regulatory Domain. The role involves building and optimizing data pipelines, architectures, and data sets while ensuring compliance with data governance frameworks.
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Responsibilities
Must have experiance in Regulatory Domain with some exp in VEEVA
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
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)
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
Certifications such as AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, or Microsoft Certified Azure Data Engineer
Experience with Agile methodologies and data engineering best practices
Qualification
Required
Must have experience in Regulatory Domain with some experience in VEEVA
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
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)
Experience with Agile methodologies and data engineering best practices
Preferred
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
Certifications such as AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, or Microsoft Certified Azure Data Engineer
Company
The Dignify Solutions, LLC
The Dignify Solutions with Global Capabilities and Local Excellence – has combined experience of 30 +years in Client Services/ Engagement/ Relationship/ Partnership, Sales/ Account Management, Service Delivery, Recruiting, Staffing and Talent Acquisition for the whole gamut of skillsets in Information Technology (Digital Transformation, Artificial Intelligence, Machine Learning and other business domains).
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase