Role :- Senior Data Platform Solution Architect (Ecommerce)

Job Description

Owns the endtoend data platform architecture for an ecommerce business, covering ingestion, storage, modeling, governance, and analytics to enable scalable Data & AI use cases.

Key responsibilities

- Define the Data Platform vision, target architecture, and roadmap aligned to ecommerce goals (customer 360, personalization, inventory, marketing attribution, etc.).

- Design and oversee implementation of data lakehouse / warehouse, including batch and streaming pipelines from transactional, clickstream, and 3rdparty sources.

- Define data models and medallionstyle layers (raw/bronze, curated/silver, semantic/gold) to support BI, experimentation, and AI workloads.

- Establish data governance: data quality, cataloging, lineage, security, PII handling, and compliance (GDPR/CCPA) where relevant).

- Guide technology

Required skills Senior Data Platform Solution Architect (Data)

- 15+ years in data engineering / data architecture, including 6–7+ years in solution / platform architect roles.

- Strong experience designing and implementing data lake / lakehouse / warehouse platforms on at least one major cloud (GCP/AWS/Azure).





- Deep knowledge of data modeling and architecture patterns: dimensional modeling, data vault or similar, and medallion (bronze/silver/gold) architectures.

- Hands-on experience with batch and streaming pipelines (e.g., Kafka/PubSub, Spark, Flink).

- Proficiency in SQL and Python programming language.

- Familiarity with contemporary lakehouse and warehouse technologies (e.g., Databricks, BigQuery, Snowflake, Redshift, Clickhouse) and orchestration tools (Airflow/Cloud Composer, Databricks Workflows, etc.).

- Strong understanding of data governance, security and privacy: data cataloging, lineage, RBAC/ABAC, PII handling, GDPR/CCPA concepts.

- Experience defining and implementing data quality frameworks and SLAs for analytical and ML use cases.

- Prior work in ecommerce or digital consumer businesses is highly desirable (clickstream, customer 360, product catalog, orders, marketing data).

- Excellent communication and stakeholder skills; able to translate between business needs and technical designs, and guide crossfunctional teams

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