Website:
unicorn-workforce.com
Job details:
Lead Data Architect / Principal Data Engineer
(Analytics Platform)
Experience- 12–16 Years
Location- Noida / Hybrid
Notice Period- Immediate
Role Summary
We are looking for a Hands-on Lead Data Architect / Principal Data Engineer to
design and build a scalable analytics platform for high-frequency telemetry and time-series
data.
This role requires a strong mix of Data Architecture + Hands-on Data Engineering
experience. The candidate will define the end-to-end data platform including ingestion,
storage, processing, multi-tenant architecture, governance, and analytics enablement.
Key Responsibilities
Data Architecture
● Design end-to-end data architecture for analytics platform
● Define scalable ingestion architecture for telemetry data
● Architect time-series optimized storage (hot & cold layers)
● Define real-time and batch processing strategies
● Design multi-tenant data isolation strategies
● Define hierarchical data modeling
Data Engineering (Hands-on)
● Build scalable ingestion pipelines
● Implement real-time streaming pipelines
● Develop transformation and aggregation workflows
● Build batch aggregation jobs (hourly/daily)
● Implement event enrichment logic
● Optimize time-series data storage
Time-Series & Analytics
● Design time-series aggregations (minute, hourly, daily)
● Implement weighted calculations
● Build analytics-ready data marts
● Enable predictive analytics readiness
Data Quality & Governance
● Define data quality framework
● Implement data lineage & auditability
● Setup observability & monitoring
● Define data contracts
Performance & Scalability
● Architect for high availability
● Low latency ingestion
● Multi-tenant scalability
● 10x data growth readiness
Must Have Skills (Mandatory)
● 10+ years Data Engineering / Data Architecture experience
● Strong experience with Time-series data
● Experience with Streaming architecture (Kafka / EventHub / Spark Streaming)
● Experience designing scalable ingestion pipelines
● Strong SQL expertise
● Python / Scala / Java (at least one)
● Data Warehousing experience
● Multi-tenant architecture experience
Preferred Skills
● Azure Cloud (Preferred)
● Databricks
● Azure Data Factory
● Airflow / dbt
● Spark / PySpark
● IoT telemetry data experience
Good to Have
● Environmental / AQI analytics experience
● SaaS analytics platform experience
● Predictive analytics / ML readiness
Ideal Candidate Profile
● Strong architecture mindset
● Hands-on engineering experience
● Experience building analytics platforms
● Experience working with high-volume data systems
Click on Apply to know more.