IoT - Data Architect - Manufacturing domain

4 weeks ago

Bengaluru, Karnataka, India a client of NeerInfo Solutions Full time

IoT Architect

Design end-to-end IoT platform architecture solutions, including data ingestion, data processing, and analytics across different vendor platforms for highly interconnected device workloads at scale.

Must have skills : Data Architecture Principles

Summary:

Our client is seeking a highly skilled and experienced Industrial Data Architect with a proven track record in providing functional and/or technical expertise to plan, analyze, define and support the delivery of future functional and technical capabilities for an application or group of applications. Well versed with OT data quality, Data modelling, data governance, data contextualization, database design, and data warehousing.

Roles & Responsibilities:

1. Industrial Data Architect will be responsible for developing and overseeing the industrial data architecture strategies to support advanced data analytics, business intelligence, and machine learning initiatives. This role involves collaborating with various teams to design and implement efficient, scalable, and secure data solutions for industrial operations.

2. Focused on designing, building, and managing the data architecture of industrial systems.

3. Assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work requests.

4. Own the offerings and assets on key components of data supply chain, data governance, curation, data quality and master data management, data integration, data replication, data virtualization.

5. Create scalable and secure data structures, integrate with existing systems, and ensure efficient data flow.

Technical Skills:

1.Must have Skills: Domain knowledge in areas of Manufacturing IT OT in one or more of the following verticals Automotive, Discrete Manufacturing, Consumer Packaged Goods, Life Science.

2. Data Modeling and Architecture: Proficiency in data modeling techniques (conceptual, logical, and physical models).

3. Knowledge of database design principles and normalization.

4. Experience with data architecture frameworks and methodologies (e.g., TOGAF).

5. Experience with data integration tools and techniques to consolidate data from various sources.

6. IoT and Industrial Data Systems: Familiarity with Industrial Internet of Things (IIoT) platforms and protocols (e.g., MQTT, OPC UA).

7. Experience with IoT data platforms like AWS IoT, Azure IoT Hub, and Google Cloud IoT Core.

8. Experience working with one or more of Streaming data platforms like Apache Kafka, Amazon Kinesis, Apache Flink

9. Ability to design and implement real-time data pipelines. Familiarity with processing frameworks such as Apache Storm, Spark Streaming, or Google Cloud Dataflow.

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