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Job Description

What is in it for you?


We are seeking an experienced Senior Solution Architect to join our team in the life sciences industry. The ideal candidate will possess a deep understanding of enterprise data architecture frameworks, cloud solutions, and the unique challenges and opportunities within the life sciences domain.


Responsibilities :


- Design scalable, secure, and cost-effective cloud data platforms leveraging Snowflake architecture.


- Architect solutions using Snowflake features such as virtual warehouses, storage layers, clustering, partitioning, and compute scaling.


- Design and implement multi-layered architecture (bronze, silver, gold) in Snowflake with clear data lineage.


- Design conceptual, logical, and physical data models using Erwin and Power Designer.


- Experience in data extraction and ingestion from various sources such as SAP, Salesforce, SQL server, APIs and other business applications


- Develop and optimize ETL/ELT processes for structured and unstructured data.


- Enable real-time streaming and batch processing


- Configure mapping data flows and parameterization for dynamic pipeline design.


- Develop and manage data pipelines, triggers, and integrations with various sources


- Optimize queries and implement strategies for performance tuning and cost management.


- Implement security measures including RBAC, data masking, and encryption within Snowflake.


- Establish and maintain CI/CD pipelines for data deployments, ensuring scalability and reliability.


- Create proof-of-concepts (POCs) that address business and technical needs and lead their transition to production-ready solutions.


- Serve as the primary technical contact during implementation, providing documentation and guidance to engineering teams.


- Assess legacy systems and plan schema conversion and data transformation strategies.


- Apply principles of modular architecture, dimensional modelling, normalization/denormalization, and metadata strategy.


- Produce architecture diagrams, migration plans, and standards documentation.


- Participate in code reviews to ensure quality, maintainability, and adherence to architectural standards.


- Engage in cross-team forums and meetings to resolve open issues and drive consensus.


- Collaborate with Project Managers and Leads to provide timely updates, flag risks, and ensure stakeholder alignment.


- Mentor and Coach Jr Architects & Engineers


- Collaborate with stakeholders to align business objectives with data strategies.


- Research and adopt modern architectures (Data Mesh, AI-ready platforms).


- Develop reusable libraries and frameworks to accelerate productivity.


- Evaluate tools, platforms, and vendors for modernization and migration initiatives.


- Develop technology roadmap considering current and future requirements.


Experience : 12 - 18 Years


Location :


- Mumbai


- Pune


- Chennai


Educational Qualifications :


- Bachelors or Masters degree in Computer Science/Information Technology/Biomedical Engineering or a related field .


- Technical certification in multiple technologies is desirable.


Skills :


Mandatory Technical Skills :


- Snowflake Cloud Data Platform and ecosystem services


- Snowflake Compute (Virtual Warehouses) & Snowpark


- Data Architecture Design


- Data Modelling


- Medallion Architecture (Bronze, Silver, Gold)


- Data Governance & Security Compliance


- Apache Spark


- Python & SQL Programming


- ETL/ELT Pipeline Design


- ETL tools like DBT, Matillion, Fivetran, Informatica, DataStage, Abinitio, SSIS


- Real-time Streaming & Batch Processing


- Data Warehousing


- Cloud Platforms (Azure, AWS, GCP)


- DevOps & CI/CD


Professional Experience :


- 12+ years of experience in data engineering and architecture, with strong expertise in cloud-based solutions.


- Proven track record in designing and implementing scalable data platforms across Azure, AWS, and GCP.


- Strong knowledge of data modelling, data warehousing, data governance, security compliance, and performance optimization.


- Ability to lead teams, mentor engineers, and drive strategic data initiatives.


- Familiarity with healthcare data standards and regulatory frameworks


- Snowflake Certifications


- Excellent communication and leadership skills


- Flexibility and teamwork mindset


- Evaluate and contribute to Data engineering proposals


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