Data Architect

1 week ago

Chennai, India Ford Motor Company Full time

We are looking for “Data Solution Architect” to join FC India IT Architecture team. In this role, you will define analytics solutions and guide engineering teams to implement big data solutions on the cloud. Work involves migrating data from legacy on-prem warehouses to Google cloud data platform. This role will provide architecture assistance to data engineering teams in India, with key responsibility of supporting applications globally. This role will also drive business adoption of the new platform and sunset of legacy platforms. Google Professional Solution Architect certification.  8+ years of relevant work experience in analytics application and data architecture, with deep understanding of cloud hosting concepts and implementations. 5+ years’ experience in Data and Solution Architecture in analytics space. Solid knowledge of cloud data architecture, data modelling principles, and expertise in Data Modeling tools. Experience in migrating legacy analytics applications to Cloud platform and business adoption of these platforms to build insights and dashboards through deep knowledge of traditional and cloud Data Lake, Warehouse and Mart concepts. Good understanding of domain driven design and data mesh principles. Experience with designing, building, and deploying ML models to solve business challenges using Python/BQML/Vertex AI on GCP.  Knowledge of enterprise frameworks and technologies. Strong in architecture design patterns, experience with secure interoperability standards and methods, architecture tolls and process. Deep understanding of traditional and cloud data warehouse environment, with hands on programming experience building data pipelines on cloud in a highly distributed and fault-tolerant manner. Experience using Dataflow, pub/sub, Kafka, Cloud run, cloud functions, Bigquery, Dataform, Dataplex , etc.  Strong understanding on DevOps principles and practices, including continuous integration and deployment (CI/CD), automated testing & deployment pipelines. Good understanding of cloud security best practices and be familiar with different security tools and techniques like Identity and Access Management (IAM), Encryption, Network Security, etc. Strong understanding of microservices architecture. Nice to Have Bachelor’s degree in Computer science/engineering, Data science or related field. Strong leadership, communication, interpersonal, organizing, and problem-solving skills Good presentation skills with ability to communicate architectural proposals to diverse audiences (user groups, stakeholders, and senior management). Experience in Banking and Financial Regulatory Reporting space.  Ability to work on multiple projects in a fast paced & dynamic environment. Exposure to multiple, diverse technologies, platforms, and processing environments. undefined

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