Philips
Location
Bangalore | India
Job description
Data Architect designs and implements the structure, integration, and management of an organization's data assets to ensure efficiency, security, and alignment with business goals .
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Your role:
The greater impact of this role.
You will be responsible to create, design and develop intricate data processing pipelines, addressing most challenging data problems.
You will lead data engineering projects from inception to completion and ensuring on-time delivery with cross team collaboration.
Ensure Enterprise Common Data Model definitions and associated standards, Designs of structures are well implemented in your Data platform.
You will design, develop and operate modern data Lakehouse architecture.
You will define the strategy to incorporate data quality into your day-to-day work.
Data Integration / Data exchange across Philips u2013 Collaborative task with Master data management and Data Integration/ API enablement.
Align Data Architecture across Value chains in context of I2M, M2O, O2C
Alignment of data architecture for product domain with enterprise and IT architecture together with Data Scientists, Data Analysts, EA, Business and platform architects.
Ensure code quality and governance is maintained and relevant CI/CD best practices are applied.
EADI Insights and analytics is part of Philips IT focuses on insights generation for major KPIs that are the goals for the year by business transformation. u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0u00A0
What we are looking for
BE/B-Tech/M-Tech/MCA professional with overall experience of 13+ years with relevant architecture experience of 5 years.
You should have the below following area of expertise.
Architecture Designu00A0
Artificial Intelligence (AI)u00A0
Business Analysis
Business Knowledge & Challenger Mindset
Cloud Platformu00A0& Cloud Security Architecture
Databasesu00A0
DevOps
Driving Insight-Led Conversationsu00A0
Engineering Awarenessu00A0& Governance Methodology and Practicesu00A0
Innovation & Capability Growthu00A0u00A0
Machine Learningu00A0
Migration Planning, Network Architecture, Networkingu00A0& Open Source
Software Engineering Practicesu00A0
Strategic Technical Planning, Team Orchestrationu00A0
Technical Architectureu00A0
Technical Communicationu00A0& a trusted technical advisoru00A0
Excellent Communicationu00A0skill
Technology Areasu00A0
Strong understanding of complex business problems to ensure projects are leveraging the appropriate technology and the technical design.u202F
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 in data integration.
Strong understanding of data modelling (preferably medallion architecture)
Experience working with transactional, temporal, and structured and unstructured data.u202F
Big Data and Data Warehouses including Azure Synapse Analytics (formerly Azure SQL DW), Snowflake, Azure Data Lake, Azure Data Explorer
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)u202F
Experience with cloud infrastructure, storage optimization and query optimizations.
Experienceu00A0in delivering/managing lifecycle of software/services using DevOps/MLOps.
Experience working on enterprise data lake using Python, Spark.
#LI
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
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