Senior Data Architect

Role Summary

We are looking for an experienced Data Architect to design and govern large-scale IoT data platforms that ingest, process, store, and analyze high-volume, high-velocity data including sensor telemetry, video streams, and audio streams.

The role requires strong expertise in streaming architectures, multimedia data pipelines, cloud-native data platforms, and data governance.

Key Responsibilities

IoT & Multimedia Data Architecture

• Design end-to-end data architectures for IoT ecosystems handling:
• Time-series sensor data
• Real-time and batch video streams (CCTV, edge cameras, drones)
• Audio streams (voice, acoustic signals, machine audio)
• Define reference architectures for edge cloud data flow.
• Architect solutions for low-latency ingestion, buffering, and processing.

Data Ingestion & Streaming

• Design ingestion pipelines using:
• MQTT, AMQP, REST, WebSockets
• Event streaming platforms (Kafka / managed equivalents)
• Handle real-time video/audio ingestion using RTSP, RTP, HLS, or WebRTC patterns.
• Ensure fault tolerance, backpressure handling, and scalability.

Storage & Data Modeling

• Define storage strategies for:
• Time-series data
• Large unstructured objects (video/audio)
• Metadata, annotations, and derived features
• Design data models for:
• Event data
• Multimedia metadata (frames, timestamps, object tags, transcriptions)
• Balance hot, warm, and cold storage tiers for cost optimization.

Processing & Analytics Enablement

• Architect pipelines for:
• Stream processing (real-time alerts, anomaly detection)
• Batch analytics and historical analysis
• Enable downstream use cases such as:
• Computer vision
• Speech-to-text
• Predictive maintenance
• Operational dashboards
• Support AI/ML feature extraction pipelines from video/audio streams.

Cloud & Edge Architecture

• Design cloud-native architectures (AWS / Azure / GCP).
• Integrate edge computing for:
• Pre-processing video/audio
• Bandwidth optimization
• Offline or intermittent connectivity scenarios
• Define deployment patterns using containers and orchestration.

Security, Governance & Compliance

• Define data governance standards for:
• Video/audio privacy
• Data lineage and metadata management
• Implement access control, encryption, and secure data sharing.
• Ensure compliance with data protection and industry regulations.

Architecture Leadership

• Work closely with:
• IoT engineers
• Video analytics teams
• Data engineers
• AI/ML teams
• Review designs, enforce best practices, and guide implementation teams.
• Create architecture documentation, diagrams, and standards.

Required Skills & Experience

Core Data Architecture

• 8+ years in data architecture / data platform design
• Strong understanding of distributed systems and event-driven architectures
• Experience designing high-throughput, low-latency pipelines

IoT & Streaming

• Hands-on experience with IoT data ingestion patterns
• Strong knowledge of streaming platforms
• Familiarity with real-time media streaming concepts

Multimedia Data

• Experience working with:
• Video pipelines (encoding, decoding, frame extraction)
• Audio pipelines (sampling, transcription workflows)
• Understanding of metadata management for multimedia data

Cloud & Platform

• Strong experience with at least one major cloud platform
• Experience with:
• Object storage
• Time-series databases
• Distributed compute engines
• Containerization and orchestration knowledge is a must

Data Governance & Security

• Knowledge of:
• Data cataloging
• Lineage
• Data access control
• Experience handling sensitive video/audio data