Data Engineering Architect Manager

Job Description

• 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
• Able to work as an independent contributor in building end to end implementation of Data solutions in Azure cloud
• Provide best fit architectural solutions and Provide technology consultation for one or more projects.
• Participate in competency development to ensure 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
• Create connects with supported business to understand and solve business challenges as well as to increase business penetration
• Translate complex business requirements into scalable technical solutions meeting data warehousing design standards.
• Strong understanding of analytics needs and proactive-ness to build generic solutions to improve the efficiency
• Review, enhance, design and develop ELT processes using Azure Data Factory & Azure Databricks
• 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
• Confidence training and guiding colleagues through complex technical challenges and best practice
• Offer support by responding to system problems on time.

Technical Knowledge and Skills required

• 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/ Terraforms/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 and Real-time data processing
• Expertise in Data warehousing - data modelling, relational and Dimension modelling, Data quality, data catalogue and ETL/ELT concepts
• In-depth understanding of data structures and algorithms
• 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)
• Ensure proper requirement traceability and Quality delivery during development and integration testing
• Programming experience in building high-quality applications, data pipelines and analytics solutions.
• Should be proficient in writing Advanced SQLs, Expertise in performance tuning of SQLs. Experience with data science and machine learning tools and technologies is a plus
• Utilize best practices of Software development Lifecycle both in the agile and traditional waterfall model
• Experience in handling/migrating SAP source data in Datawarehouse is a plus

Soft Skills Required

• Good communication and presentation skills
• Highly driven, energetic, flexible, resourceful & ability to multitask
• Clarity of thoughts and vision
• Ability to ideate and bring solutions to the table
• Strong Leadership skills
• Adherence to timelines, without sacrificing the quality of output
• Hands-on and detail-oriented, with a strong ability to coordinate across different Geographies and with different stakeholders at Exec and Director levels

Work Experience

• Minimum of 14+ years of increasingly responsible experience in high impactful and changing environments
• 4+ 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.
• 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 Supply chain would be a distinct advantage
• Should have worked in a dynamic and fast-changing environment
• High affinity with AI-powered insight tools and engines and application of real-time solutions to analytics problems
• Strong analytical and communication skills. Should be self-driven, highly motivated and able to learn quick

Academics

• Masters degree/BE/BTech from a good institute in a quantitative discipline
• Strong exposure to Databases and data structures of cloud-based technologies
• AWS/Azure Solution Architect certification/Azure Data Engineer certification is plus

In return, we offer you

• A challenging, innovative environment with great opportunities to explore. Our benefits are very competitive and designed around your preferences:
• A rewarding career in Philips with attractive package. `
• A variable bonus based on both Philips results and personal performance
• Extensive set of tools to drive your career, such as a personal development budget, free training and coaching
• Attractive collective health insurance package
• Opportunity to buy Philips shares and products with discount

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Keyskills :
sqljavadata warehousinginformaticapythonsoftware development life cyclebig datasql serversupply chaindata sciencedata qualitydata modeling