Your Responsibilities includes but are not limited.

Lead Architecture and manage Project Architects, Managers and Development and Operational teams

Lead & guide the technical teams independently to implement & deliver complex project assignments simultaneously and support live applications

Strong understanding of analytics needs and proactive-ness to build generic solutions to improve the efficiency

Must have experience at least 3 years in the end to end implementation of Data solutions in Azure cloud

Expertise in Data warehousing – data modelling, relational and Dimension modelling, Data quality, data catalogue and ETL/ELT concepts

Provide best fit architectural solutions and Provide technology consultation for one or more projects.

Participate in competency development with the objective of ensuring the best-fit and high-quality technical solutions.

Should be a key contributor in creating thought leadership within the area of technical specialization and in compliance with guidelines, policies and norms of Philips

Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure functions, Logic aps, Synapse, ADLS, Azure SQL server, Scala/Spark/SQL/PYTHON etc.

Azure Database development experience with Azure CI/CD, Azure Classic Pipelines, Azure YAML, ARM/ Terraform/Ansible, AKS Maintenance, Azure ML, Pipeline integrations, Azure PaaS and IaaS, Azure Infra Experience (Spinning VMs, Databases and Cosmos)

Working in the big data environment, on-prem, cloud, SPARK, Real-time data processing, machine learning as a component

Design solutions using new generation In-Memory Columnar databases like HANA Design and build highly scalable data pipelines using new generation tools and technologies like Spark, Kafka to induct data from various systems

Experience with data security and data access controls and design

Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling)

Utilize best practices of Software development Lifecycle both in agile and traditional waterfall model

Ensure proper requirement traceability and Quality delivery during development and integration testing

Create connections with supported businesses to understand and solve business challenges as well as to increase business penetration

Should support the Production live application by maintaining 100% Data accuracy and data availability in all 24*7.

Experience with operational support and Governance

Working closely with Business Stakeholders, Technology Stakeholders, IT Teams and Advanced Analytics experts

Supporting Data Scientist with some background of ML with data skills

Supporting Data Visualization team with some background of Qlik view/Power BI/Tableau reports with data skills

Be a champion of Standard software practices, high & low-level architecture

Data Source Configuration, Maintenance, Document and maintain work-instructions

Strong communication and Leadership skills

Confidence training and guiding colleagues through complex technical challenges and best practice

SAP Knowledge is plus

Must-Have Skills:

Minimum of 11+ years overall EDW (ETL, BI projects) /Big Data Architecture experience, software development experience using object-oriented languages.

3+ years of working experience in Azure as Solution/Data Architect

5 +years of hands-on experience with one or more cloud technologies such as Azure, AWS, Google.

5+years in product management, solution architecture

Experience in managing a high-profile team of Data Engineers, data scientists, Business Analytics, Production support teams and Data Analysts

Knowledge of Software development methodologies. Have worked in Scrum teams

Excellent communication & presentation skills with a track record of engaging with senior business leaders

Previous experience in the Supply chain would be a distinct advantage

Solution architect certification/Azure Data Engineer certification is plus

AZURE (Must)

Academics

Masters degree/Btech from a good institute in a quantitative discipline

Strong exposure to Databases and data structures of cloud-based technologies

Azure architect certification preferred