Data Architect
- Axtria
- 10 - 17 years
- Noida, Gurugram
- 1 month ago
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Job Description
This is a individual contributor role.
Looking candidates from Product/Life Science/ Pharma/Consulting background only.
POSITION: Data Architect.
LOCATION: NCR/Bangalore/Gurugram.
PRODUCT:
Axtria DataMAx is a global cloud-based data management product specifically designed for
the life sciences industry. It facilitates the rapid integration of both structured and unstructured data sources, enabling accelerated and actionable business insights from trusted data
This product is particularly useful for pharmaceutical companies looking to streamline their data
processes and enhance decision-making capabilities.
JOB OBJECTIVE:
To leverage expertise in data architecture and management to design, implement, and
optimize a robust data warehousing platform for the pharmaceutical industry. The goal is to ensure seamless integration of diverse data sources, maintain high standards of data quality and governance, and enable advanced analytics through the definition and management of semantic and common data layers. Utilizing Axtria DataMAx and generative AI technologies, the aim is to accelerate business insights and support regulatory compliance, ultimately enhancing decision-making and operational efficiency.
Key Responsibilities:
- Data Modeling: Design logical and physical data models to ensure efficient data storage and
retrieval.
- ETL Processes: Develop and optimize ETL processes to accurately and efficiently move data
from various sources into the data warehouse.
- Infrastructure Design: Plan and implement the technical infrastructure, including hardware,
software, and network components.
- Data Governance: Ensure compliance with regulatory standards and implement data
governance policies to maintain data quality and security.
- Performance Optimization: Continuously monitor and improve the performance of the data
warehouse to handle large volumes of data and complex queries.
- Semantic Layer Definition: Define and manage the semantic layer architecture and technology stack to manage the lifecycle of semantic constructs including consumption into downstream systems.
- Common Data Layer Management: Integrate data from multiple sources into a centralized
repository, ensuring consistency and accessibility.
- Deep expertise in architecting enterprise grade software systems that are performant,
scalable, resilient and manageable. Architecting GenAI based systems is an added plus.
- Advanced Analytics: Enable advanced analytics and machine learning to identify patterns in
genomic data, optimize clinical trials, and personalize medication.
- Generative AI: Should have worked with production ready usecase for GenAI based data and
- Stakeholder Engagement: Work closely with business stakeholders to understand their data
needs and translate them into technical solutions.
- Cross-Functional Collaboration: Collaborate with IT, data scientists, and business analysts to
ensure the data warehouse supports various analytical and operational needs.
Qualifications:
- Proven experience in data architecture and data warehousing, preferably in the
pharmaceutical industry.
- Strong knowledge of data modeling, ETL processes, and infrastructure design.
- Experience with data governance and regulatory compliance in the life sciences sector.
- Proficiency in using Axtria DataMAx or similar data management products.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration skills.
Preferred Skills:
- Familiarity with advanced analytics and machine learning techniques.
- Experience in managing semantic and common data layers.
- Knowledge of FDA guidelines, HIPAA regulations, and other relevant regulatory standards.
- Experience with generative AI technologies and their application in data warehousing.
Job Classification
Industry: Software ProductFunctional Area / Department: OtherRole Category: OtherRole: OtherEmployement Type: Full timeContact Details:
Company: AxtriaLocation(s): Noida, Gurugram
Keyskills: Gen AI data warehousing Data Architecture ETL Data modelling Artificial Intelligence Infrastructure Design Data Governance
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