Exciting Opening for Principal Data Engineering Architect – Industrial Data Platforms & IIoT
Dear Folks,
We have an exciting opportunity for the above role @ TAO Digital Solutions (www.Taodigitalsolutions.Com)
Interested candidates please forward your updated resume to the following email ID (
[email protected]) ASAP.
Experience: 12 to 18+ years overall. Candidate should have min 6+ years in AI/ML;
3+ years leading production AI architecture in asset-intensive environments
Pref Industry: Telecommunications;
Energy / Oil & Gas;
Automotive / Manufacturing;
Aerospace / Aviation
Preferred platform / tool exposure:
Core engineering: Python, SQL, PySpark/Scala, Spark, Kafka/Confluent, dbt, Airflow/Dagster, REST/GraphQL APIs, Git, Docker/Kubernetes, Terraform or equivalent IaC.
Lakehouse / analytics: Databricks + Delta Lake, Snowflake, BigQuery, Redshift, Synapse/Fabric;
Apache Iceberg/Hudi familiarity is valuable.
Cloud: robust 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/EventHubs/Fabric;
GCS/Dataflow/Pub/Sub/BigQuery.
Industrial / 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.
Governance: Databricks Unity Catalog, Microsoft Purview, AWS Glue/Lake Formation, Collibra/Alation, data-quality/observability tooling such as Great Expectations, Soda, Monte Carlo or equivalent.
Operational applications: IBM Maximo, SAP PM/EAM, ServiceNow;
telecom OSS/BSS/NMS;
automotive PLM/MES;
aerospace MRO/engineering systems are desirable depending on domain.
Experience & qualifications
12+ years in data engineering, data platforms, software/platform engineering or architecture, with 3+ years owning senior architecture/technical leadership responsibilities.
Proven experience with high-volume, high-velocity telemetry, IoT/II
📌 Chief Industrial Data Engineer (Hyderabad)
🏢 Tao Digital Solutions
📍 Hyderabad