Senior Data Architect
2 days ago
About the Role
We are seeking a
Senior Data Architect
with deep
Big Data Engineering expertise
to design and modernize
large-scale, cloud-native data platforms
. This role emphasizes
distributed data processing, real-time pipelines, data platform automation
, and
GenAI enablement
on top of strong Big Data foundations.
Key Responsibilities
- Architect and govern
enterprise Big Data platforms
(data lake, lakehouse, warehouse, real-time). - Design
high-volume, high-velocity data pipelines
using batch and streaming frameworks. - Lead implementation of
distributed processing architectures
(Spark, PySpark, EMR). - Build
event-driven and real-time streaming solutions
(Kafka, Kinesis, Flink). - Define
ETL/ELT patterns
, metadata-driven pipelines, and reusable ingestion frameworks. - Drive
data platform automation
(Airflow/Step Functions, CI/CD, data quality, observability). - Optimize
performance, scalability, fault tolerance, and cost
across Big Data workloads. - Integrate
GenAI architectures
(LLMs, embeddings, vector databases, RAG) with enterprise data lakes. - Ensure
security, governance, lineage, and compliance
across data platforms. - Provide hands-on leadership and technical mentoring to data engineering teams.
Required Technical Skills & Experience
- 12+ years
in
Big Data Engineering / Data Architecture
roles. - Expert-level experience with
Spark, PySpark, SQL
, and distributed compute engines. - Strong knowledge of
AWS Big Data stack
: S3, EMR, Glue, Athena, Redshift, Lambda, Step Functions. - Hands-on experience with
Snowflake
(performance tuning, data sharing, optimization). - Expertise in
streaming platforms
: Kafka, Kinesis, Flink, or Spark Streaming. - Strong experience with
data modeling
(dimensional, Data Vault 2.0). - Proficiency in
Python
, schema evolution, partitioning, and data versioning. - Experience with
orchestration and automation
tools (Airflow, Dagster, CI/CD). - Working knowledge of
GenAI data integration
(feature stores, vector DBs, RAG pipelines).
Experience with
Agile delivery
and leading globally distributed engineering teams
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