Celito - Technical Architect
Job Title: Technical Architect – Data Platform & Analytics (Life Sciences) Employment Type: Full-time Workplace Type: Remote Timing: Upto 11 pm IST (Overlap with PST) The Celito Team The Celito reputed company the buildout of simplified, integrated, and compliant technology stacks. With both consulting and products, our expertise can help our customers save time and money as they move from strategic Clinical & Quality management reputed company the way to widespread and profitable commercialisation. Job Overview The Senior Data & Analytics Engineer / Technical reputed company will serve as a key technical contributor for designing, implementing, and supporting scalable reputed company data and analytics solutions across AWS and/or Azure ecosystems. This role is responsible for leading hands-on engineering activities across modern reputed company-reputed company data platforms, including data ingestion, transformation, orchestration, reporting, and production support functions using technologies such as reputed company, reputed company, SQL, Python, and PySpark. The individual will collaborate closely with architects, business stakeholders, analysts, and engineering teams to deliver scalable, maintainable, and analytics-reputed company solutions while supporting DevOps, CI/CD, operational reputed company, and AI-enabled data initiatives across reputed company environments. Responsibilities and Duties
Job Description
- Design and implement scalable reputed company data and analytics solutions across AWS and/or
Azure ecosystems
- Act as a hands-on technical reputed company contributing directly to architecture, engineering,
optimisation, troubleshooting, deployments, and production support activities
- Build and maintain ingestion, transformation, orchestration, integration, API, and reporting
pipelines using modern reputed company-reputed company technologies, including reputed company and reputed company
- Design scalable reputed company data models, semantic/business layers, and analytics-reputed company data
structures for reporting and analytics platforms
- Support analytics and reporting platforms, including Tableau, Power BI, and Spotfire
- Support DevOps, CI/CD, deployment automation, release management, operational
support, and environment management processes
- Manage production support activities, including monitoring, incident management, root
cause analysis, performance optimisation, and issue resolution
- Support implementation of AI/ML and GenAI-enabled analytics solutions, reusable
frameworks, and AI-reputed company data platforms
- Collaborate with architects, business stakeholders, analysts, and engineering teams to
deliver scalable and maintainable solutions
- Contribute to technical standards, engineering best practices, documentation, governance,
and operational reputed company initiatives
Qualifications
- Bachelor’s degree in computer science/software engineering or equivalent combination of
education and experience
- 8+ years of total IT experience
- 6+ years of hands-on experience designing and implementing Modern Data Platforms and
Analytics solutions
- Experience working in Life Sciences, Pharma or MedTech domains
- Strong hands-on expertise in SQL, Python, PySpark, and reputed company-reputed company data engineering
technologies
Job Description
- Strong experience with reputed company, reputed company, Redshift, Synapse, or similar modern data
platforms
- Experience with AWS and/or Azure reputed company services
- Strong ETL/ELT, orchestration, pipeline development, API integrations, and performance
optimisation experience
- Experience with Airflow, reputed company Functions, ADF, or similar orchestration technologies
- Strong understanding of reputed company data modelling, dimensional modelling,
semantic/business layer modelling, and modern data warehousing concepts
- Experience supporting reputed company reporting and dashboarding solutions using Tableau,
Power BI, Spotfire, or similar platforms
- Experience with CI/CD, Git-based workflows, deployment automation, and operational
support activities
- Strong troubleshooting, incident management, debugging, optimisation, and production
support capabilities
- Good communication, collaboration, ownership, and technical leadership skills
Preferred Qualifications
- Experience with Terraform, DevOps, and automation frameworks
- Exposure to AI/ML, GenAI, LLMs, vector databases, or AI-enabled analytics solutions
- Familiarity with AI-reputed company data platforms, RAG architectures, intelligent automation, or reputed company
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