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Lead Data Architect

Arcolab

5 - 10 years

Bengaluru

Posted: 08/04/2026

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Job Description

Were Hiring Data Architect Lead Arcolab


About the Company: Arcolab is a global life science consulting and technology partner, designed to provide diverse capabilities and services with subject matter experts across domains. Arcolab is ISO 27001 & ISO 27701 certified, assuring customers that the implemented controls are effective and aligned with the highest standards of data security and privacy.

With over 550 employees, we provide services to 30+ clients spanning 5 continents across life science areas, including injectables, APIs, biologics, oral dosages, medical devices and R&D centres. Arcolab offers consulting & managed services across the life sciences value chain including digitalization in the manufacturing & supply chain arena, quality & compliance, pharmacovigilance & clinical operations, and more.

  • Extensive IT Pharma Expertise Managing the IT ecosystems of 12+ organizations, including infrastructure, application implementation, upgrades, and support.
  • Experience in Greenfield & Brownfield Successful implementation and validation of multiple applications across 7+ site setups.
  • Global IT Project & Operations Experience Over 100+ implementations and validation projects delivered, with ongoing operations support for 30+ global sites



About the Role:

We are looking for an experienced Data Architect Lead to design and implement scalable, cloud-based data platforms and drive enterprise-level data transformation initiatives.



Responsibilities:

  • Translate business requirements into scalable, optimized data architecture solutions
  • Gather insights from stakeholders to shape project strategy and execution
  • Define and document architecture, clearly articulating solution value and delivery approach
  • Drive technical governance across design, build, and deployment phases
  • Collaborate with business sponsors and stakeholders to validate requirements and constraints
  • Lead dimensional modeling and implement best practices for data architecture
  • Develop data accelerators to improve automation, efficiency, and productivity


Required Skills:

  • Strong understanding of complex business problems to ensure projects are leveraging the appropriate technology and the technical design.
  • Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, database migrations, and technology management.
  • Experience in moving data from on-premises data platforms to cloud and designing cloud native data warehouse platform.
  • Experience working with transactional, temporal, time series, and structured and unstructured data.
  • Big Data and Data Warehouses including Azure Data Lake, Azure Data Explorer, Azure Data factory, Pyspark, SQL and some experience in Fabric.
  • Advanced Analytics including Azure Synapse Analytics, Azure Data Bricks, data visualization tools (i.e. PowerBI, Tableau).
  • Data Science and Machine Learning (i.e. Azure ML, ML Server, TensorFlow, or other similar frameworks).
  • Experience with cloud infrastructure, storage optimization and query optimizations.
  • Experience in delivering/managing lifecycle of software/services using DevOps/MLOps.
  • Proficiency in data modeling and design, including SQL development and database administration.
  • Experience with cloud platforms, such as Azure, to manage and integrate data systems.
  • Knowledge of big data developments and technology architectures.
  • Familiarity with data security measures and compliance regulations.
  • Ability to design and model database, data warehouse, and data flow infrastructures.
  • Understanding of data integration and the tools to manage data flow.
  • Excellent communication and collaboration skills.


What Were Looking For

  • Strong experience in data architecture / data engineering roles
  • Proven track record of designing enterprise data platforms
  • Excellent communication and stakeholder management skills
  • Ability to work in a global, fast-paced environment


Why Join Arcolab?

  • Work on global life sciences transformation programs
  • Exposure to cutting-edge cloud and data technologies
  • Opportunity to shape large-scale digital initiatives
  • Collaborative and innovation-driven work culture


Join Arcolab and help build intelligent, data-driven ecosystems that power innovation in healthcare.

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