Other Jobs To Apply
No other job posts for this day.
<p>Job Title: Technical Architect – Data Platform & Analytics (Life Sciences)<br></p>
<p>Employment Type: Full-time</p>
<p>Workplace Type: Remote</p>
<p>Timing: Upto 11 pm IST (Overlap with PST)</p>
<p>The Celito Team</p>
<p>The Celito Team architects the buildout of simplified, integrated, and compliant technology</p>
<p>stacks. With both consulting and products, our expertise can help our customers save time and</p>
<p>money as they move from strategic Clinical & Quality management all the way to widespread</p>
<p>and profitable commercialisation.</p>
<p>Job Overview</p>
<p>The Senior Data & Analytics Engineer / Technical Lead will serve as a key technical contributor</p>
<p>for designing, implementing, and supporting scalable enterprise data and analytics solutions</p>
<p>across AWS and/or Azure ecosystems. This role is responsible for leading hands-on engineering</p>
<p>activities across modern cloud-native data platforms, including data ingestion, transformation,</p>
<p>orchestration, reporting, and production support functions using technologies such as</p>
<p>Databricks, Snowflake, SQL, Python, and PySpark. The individual will collaborate closely with</p>
<p>architects, business stakeholders, analysts, and engineering teams to deliver scalable,</p>
<p>maintainable, and analytics-ready solutions while supporting DevOps, CI/CD, operational</p>
<p>excellence, and AI-enabled data initiatives across enterprise environments.</p>
<p>Responsibilities and Duties</p>
<p>Job Description</p>
<p>• Design and implement scalable enterprise data and analytics solutions across AWS and/or</p>
<p>Azure ecosystems</p>
<p>• Act as a hands-on technical lead contributing directly to architecture, engineering,</p>
<p>optimisation, troubleshooting, deployments, and production support activities</p>
<p>• Build and maintain ingestion, transformation, orchestration, integration, API, and reporting</p>
<p>pipelines using modern cloud-native technologies, including Snowflake and Databricks</p>
<p>• Design scalable enterprise data models, semantic/business layers, and analytics-ready data</p>
<p>structures for reporting and analytics platforms</p>
<p>• Support analytics and reporting platforms, including Tableau, Power BI, and Spotfire</p>
<p>• Support DevOps, CI/CD, deployment automation, release management, operational</p>
<p>support, and environment management processes</p>
<p>• Manage production support activities, including monitoring, incident management, root</p>
<p>cause analysis, performance optimisation, and issue resolution</p>
<p>• Support implementation of AI/ML and GenAI-enabled analytics solutions, reusable</p>
<p>frameworks, and AI-ready data platforms</p>
<p>• Collaborate with architects, business stakeholders, analysts, and engineering teams to</p>
<p>deliver scalable and maintainable solutions</p>
<p>• Contribute to technical standards, engineering best practices, documentation, governance,</p>
<p>and operational excellence initiatives</p>
<p>Qualifications</p>
<p>• Bachelor’s degree in computer science/software engineering or equivalent combination of</p>
<p>education and experience</p>
<p>• 8+ years of total IT experience</p>
<p>• 6+ years of hands-on experience designing and implementing Modern Data Platforms and</p>
<p>Analytics solutions</p>
<p>• Experience working in Life Sciences, Pharma or MedTech domains</p>
<p>• Strong hands-on expertise in SQL, Python, PySpark, and cloud-native data engineering</p>
<p>technologies</p>
<p>Job Description</p>
<p>• Strong experience with Databricks, Snowflake, Redshift, Synapse, or similar modern data</p>
<p>platforms</p>
<p>• Experience with AWS and/or Azure cloud services</p>
<p>• Strong ETL/ELT, orchestration, pipeline development, API integrations, and performance</p>
<p>optimisation experience</p>
<p>• Experience with Airflow, Step Functions, ADF, or similar orchestration technologies</p>
<p>• Strong understanding of enterprise data modelling, dimensional modelling,</p>
<p>semantic/business layer modelling, and modern data warehousing concepts</p>
<p>• Experience supporting enterprise reporting and dashboarding solutions using Tableau,</p>
<p>Power BI, Spotfire, or similar platforms</p>
<p>• Experience with CI/CD, Git-based workflows, deployment automation, and operational</p>
<p>support activities</p>
<p>• Strong troubleshooting, incident management, debugging, optimisation, and production</p>
<p>support capabilities</p>
<p>• Good communication, collaboration, ownership, and technical leadership skills</p>
<p>Preferred Qualifications</p>
<p>• Experience with Terraform, DevOps, and automation frameworks</p>
<p>• Exposure to AI/ML, GenAI, LLMs, vector databases, or AI-enabled analytics solutions</p>
<p>• Familiarity with AI-ready data platforms, RAG architectures, intelligent automation, or cloud</p>
<p>AI services</p>
