Data Architect - Insights & Analytics X 360

Job Title

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.

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 – 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.

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 Design

• Artificial Intelligence (AI)

• Business Analysis

• Business Knowledge & Challenger Mindset

• Cloud Platform & Cloud Security Architecture

• Databases

• DevOps

• Driving Insight-Led Conversations

• Engineering Awareness & Governance Methodology and Practices

• Innovation & Capability Growth

• Machine Learning

• Migration Planning, Network Architecture, Networking & Open Source

• Software Engineering Practices

• Strategic Technical Planning, Team Orchestration

• Technical Architecture

• Technical Communication & a trusted technical advisor

• Excellent Communication skill

Technology Areas

• 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 in data integration.

• Strong understanding of data modelling (preferably medallion architecture)

• Experience working with transactional, temporal, and structured and unstructured data.

• 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)

• Experience with cloud infrastructure, storage optimization and query optimizations.

• Experience in delivering/managing lifecycle of software/services using DevOps/MLOps.

• Experience working on enterprise data lake using Python, Spark.

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