Principal Architect (AWS Big Data)
Location
Manesar | India
Job description
Are you naturally curious So are we at MKS. Our collective curiosity drives us to be an innovation leader in many industries. Our products drive technology advancements across a wide range of applications such as 5G, augmented/virtual reality, autonomous vehicles, clean drinking water and space exploration. We are a team of collaborators who value fresh thinking and believe in mutual respect, constructive candor, diversity and inclusion. As a valued and trusted partner to our customers, we are continually pushing the boundaries of possibility. We believe in creating technology that transforms our world and are looking for like-minded individuals to join our team. If this is appealing to you, we want to meet you.
We are looking for an exceptional
Principal Architect who can deliver BigData/Analytics solutions on the AWS platform leveraging various cloud tools and services. This role will interface with MKS Engineering, Operations, Service and other Business Unites to gather technical requirements, develop cloud solutions, drive implementations, improvements and support activities.
- Lead, define and implement end-to-end modern data platforms in support of analytics and AI use cases.
- Collaborate with enterprise architects, data architects, ETL developers & engineers, data scientists, and information designers to lead identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities.
- Address aspects such as data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modeling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations
- Be the technical liaison between MKS Business Units and data engineering team
- Lead and mentor small technical teams, ensuring timely and effective execution of tasks and deliverables.
- Understand business requirements, translating them into actionable technical solutions and strategies to meet organizational objectives.
- Educate customers on the value of AWS and AWS's Data services
- Proficiently navigate time zone differences to effectively collaborate with our distributed teams in North America and Europe, demonstrating flexibility in adjusting work hours when required to synchronize efforts and ensure smooth communication
What will you bring to the team, along with your curiosity: - 5+ years experience leading engagements from design to implementation of creative data solutions leveraging the latest in Big Data frameworks, supporting on-premise, cloud (Ideally AWS) and hybrid architectures to enable use cases in analytics and AI
- 5+ years experience architecting solutions for optimal extraction, transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi-structured using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads
- 3+ years experience with analytics/data management strategy formulation, architectural blueprinting, business case development and effort estimation of disruptor based analytics
- 3+ years working in the cloud or multi-server complex environments. Experience with AWS a requirement.
- Ability to simplify complex technical concepts into an easy-to-understand non-technical language in order to facilitate, communicate and interact with executives and business stakeholders
- Experience with Agile development methods in data-oriented projects
Candidates will also have some of the following capabilities: - Bachelor's Degree or higher in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or a related field is desired
- Strong SQL, Database, Data Modeling, Data Warehousing and Development skills
- Strong programming / scripting experience using various languages such as Python, Java, Scala .NET, Typescript, Javascript, etc.
- Experience in Cloud Big Data & Analytics Services on the cloud (AWS preferred ie. S3, Redshift, Athena, EMR, Glue, Quicksight, etc.)
- Exposure to Dashboarding and Reporting Tools used in the Industry (Quicksight, PowerBI, Tableau, Qlik, etc.)
- Experience with industry ETL tools (Informatica, Talend, SSIS, etc.)
- Have strong people management skills: leading teams, training, onboarding, offboarding, etc.
- Preference for candidates with the following AWS certifications
- AWS Certified Data Analytics - Specialty (DAS-C01)
- AWS Certified Solutions Architect - Associate (SAA-C03)
- AWS Certified Data Engineer - Associate
- Preference for candidates with experience in open-source table formats, including Apache Hudi, Apache Iceberg, and Databricks Delta Lake
- Subject matter data expertise in manufacturing industry and engineering operations
- Experience with implementation of data security, encryption, PII/PSI legislation, identity and access management across sources and environments
- Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, TFS, Shell, Powershell, Bitbucket, etc.
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