Senior Data Architect (12+ Yr)

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Job Overview

Data Architect

Data Lakes, Data Warehouses, and Data Lakehouse

Key Responsibilities

• Define and drive the

  enterprise data architecture strategy

  supporting analytics, BI reporting, and AI/ML initiatives.
• Architect, design, and implement

  Data Lakes, Data Warehouses, and Data Lakehouse

  platforms on cloud environments.
• Lead data ecosystem modernization with a strong emphasis on

  Snowflake

  , supported by

  Databricks, Spark, Azure Data Factory, and Python

  .
• Design and optimize

  batch and real-time streaming data pipelines

  for high-volume, enterprise-scale workloads.
• Establish robust

  data ingestion, transformation, orchestration, and automation frameworks

  .
• Define and enforce

  data governance, data quality, metadata management, and lineage standards

  .
• Collaborate with business stakeholders, data engineers, analytics teams, and leadership to align data architecture with business goals.
• Provide

  technical leadership and mentorship

  to engineering teams, promoting best practices and architectural standards.
• Continuously evaluate and integrate emerging technologies to enhance performance, scalability, security, and cost efficiency.

Required Skills & Experience

• 1215 years of overall IT experience

  , with

  8+ years in a Data Architect or Senior Data Architecture role

  .
• Strong hands-on experience designing and implementing

  enterprise data platforms from scratch

  .
• Core technical expertise in:

• Snowflake

  (mandatory / primary focus)

• Databricks and Apache Spark

  (batch & streaming)

• Azure Data Factory (ADF)

  for orchestration and data pipelines

• Python

  for data engineering, automation, and custom processing
• Solid understanding of

  ETL/ELT patterns

  , data modeling, schema design, and query performance optimization.
• Experience with

  real-time data streaming

  technologies (e.g., Kafka, Spark Streaming, Azure Event Hubs).
• Working knowledge of

  data governance, cataloging, lineage, compliance, and security frameworks

  .
• Strong understanding of

  cloud-native services

  across

  Azure, AWS, or GCP

  .