Service Architect

1 week ago

Bangalore, India Axtria - Ingenious Insights Full time
Job Title:- Senior Data Architect
Experience:- 10+ Years

To leverage expertise in data architecture and management to design, implement, and
Optimise a robust data warehousing platform for the pharmaceutical industry. 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. Utilising Axtria DataMAx™ and generative AI technologies, the aim is to accelerate business insights and support regulatory compliance, ultimately enhancing decision-making and operational efficiency.

Data Modeling: Design logical and physical data models to ensure efficient data storage
ETL Processes: Develop and optimize ETL processes to accurately and efficiently move
data from various sources into the data warehouse.
• software, and network components.
• Data Governance: Ensure compliance with regulatory standards and implement data
governance policies to maintain data quality and security.
• Performance Optimisation: Continuously monitor and improve the performance of the
data warehouse to handle large volumes of data and complex queries.
• Common Data Layer Management: Integrate data from multiple sources into a
Deep expertise in architecting enterprise grade software systems that are performant,
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
data needs and translate them into technical solutions.
• Data Modeling: Strong expertise in Data Modelling, with ability to design complex data
ETL Processes: Must have worked with different loading strategies for facts and
dimensions like SCD, Full Load, Incremental Load, Upsert, Append only, Rolling Window
Cloud Warehouse skills: Expertise in leading cloud data warehouse platforms—
Snowflake, Databricks, and Amazon Redshift—with a deep understanding of their
architectural nuances, strengths, and limitations, enabling the design and deployment of
scalable, high-performance data solutions aligned with business objectives.
• Cross-Functional Collaboration: Collaborate with IT, data scientists, and business
analysts to ensure the data warehouse supports various analytical and operational needs.

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.
• 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
Experience with generative AI technologies and their application in data warehousing

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