Chief Data Architecture Specialist

2 days ago

Guntur, Andhra Pradesh, India beBeeDataArchitect Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Overview

  • We are seeking a seasoned data architect to design, implement, and optimize a robust data warehousing platform for the pharmaceutical industry.

Key Responsibilities:

  • Data Modelling: Create 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 Optimisation: 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. Expertise in 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: Experience with production ready usecase for GenAI based data and applications.
  • Stakeholder Engagement: Work closely with business stakeholders to understand their data needs and translate them into technical solutions.
  • Data Modelling: Strong expertise in Data Modelling, with ability to design complex data models from the ground up and clearly articulate the rationale behind design choices.
  • ETL Processes: Must have worked with different loading strategies for facts and dimensions like SCD, Full Load, Incremental Load, Upsert, Append only, Rolling Window etc.
  • 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.

Required Skills and 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

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