Job DescriptionExciting Opening for Principal Data Engineering Architect – Industrial Data Platforms & IIoT
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nDear Folks,
nWe have an exciting chance for the above role @ TAO Digital Solutions (www.taodigitalsolutions.com)
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nInterested candidates please forward your updated resume to the following email ID () ASAP.
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nExperience: 12 to 18+ years overall. Candidate should have min 6+ years in AI/ML; 3+ years leading production AI architecture in asset-intensive environments
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nPref Industry: Telecommunications; Energy / Oil & Gas; Automotive / Manufacturing; Aerospace / Aviation
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nPreferred platform / tool exposure:
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nCore engineering: Python, SQL, PySpark/Scala, Spark, Kafka/Confluent, dbt, Airflow/Dagster, REST/GraphQL APIs, Git, Docker/Kubernetes, Terraform or equivalent IaC.
nLakehouse / analytics: Databricks + Delta Lake, Snowflake, BigQuery, Redshift, Synapse/Fabric; Apache Iceberg/Hudi familiarity is valuable.
nCloud: strong depth in at least one of AWS, Azure or GCP and architectural familiarity with a second. Examples:



S3/Glue/EMR/Kinesis/MSK; ADLS/Data Factory/Event Hubs/Fabric; GCS/Dataflow/Pub/Sub/BigQuery.
nIndustrial / edge: AWS IoT Core/SiteWise/Greengrass/TwinMaker, Azure IoT Hub/IoT Edge/Digital Twins, MQTT brokers, OPC-UA gateways; familiarity with AVEVA PI/OSIsoft historians, SCADA/DCS and MES/MOM.
nGovernance: Databricks Unity Catalog, Microsoft Purview, AWS Glue/Lake Formation, Collibra/Alation, data-quality/observability tooling such as Great Expectations, Soda, Monte Carlo or equivalent.
nOperational applications: IBM Maximo, SAP PM/EAM, ServiceNow; telecom OSS/BSS/NMS; automotive PLM/MES; aerospace MRO/engineering systems are desirable depending on domain.
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nExperience & qualifications
n12+ years in data engineering, data platforms, software/platform engineering or architecture, with 3+ years owning senior architecture/technical leadership responsibilities.
nProven experience with high-volume, high-veloci

📌 Principal Data Engineering Architect (Hyderabad)
🏢 Tao Digital Solutions
📍 Hyderabad