Data Architect – Snowflake, Big Data & AI/ML

Job Title

Data Architect

Experience

10–15 Years

Location

Bangalore – Remote

Notice Period

Immediate Joiners Preferred

Role Overview

We are looking for an experienced

Data Architect

with 10–15 years of experience in designing and delivering scalable enterprise data platforms. The ideal candidate should have strong hands-on expertise in

Snowflake, DBT, Apache Airflow, Big Data technologies, and AI/ML-driven data solutions

, along with proven

managerial and team leadership experience

.

The candidate will be responsible for defining data architecture, designing modern cloud data platforms, establishing data engineering best practices, and leading technical teams to successfully deliver complex data initiatives.

Key Responsibilities

· Define and drive the overall

enterprise data architecture and data platform strategy

.

· Design scalable, secure, and high-performance data solutions using

Snowflake

.

· Architect and oversee

ETL/ELT pipelines

using

DBT and Apache Airflow

.

· Design solutions for processing and managing large-scale structured, semi-structured, and unstructured datasets.

· Provide architectural guidance for

Big Data, Data Lake, Data Warehouse, and Lakehouse implementations.

· Design data platforms capable of supporting

AI/ML, Generative AI, and advanced analytics use cases

.

· Collaborate with AI/ML teams to ensure reliable, scalable, and governed data availability for model development and deployment.

· Establish standards and best practices for

data modeling, data quality, data governance, security,

lineage, and metadata management

.

· Optimize Snowflake architecture for performance, scalability, reliability, and cost efficiency.

· Evaluate new data and AI technologies and recommend appropriate solutions based on business requirements.

· Work closely with business stakeholders, engineering teams, product teams, and senior leadership to translate business requirements into technical architecture.

· Lead architecture reviews, technical discussions, solution design, and implementation planning.

· Manage and mentor

Data Engineers, Technical Leads, and Architects

.

· Handle resource planning, task allocation, delivery tracking, risk management, and technical escalations.

· Provide technical and managerial leadership across multiple data initiatives.

· Ensure projects are delivered within agreed timelines while maintaining architecture and quality standards.

Mandatory Skills

· 10–15 years

of overall experience in Data Engineering, Data Architecture, Big Data, or related areas.

· Strong experience as a

Data Architect / Solution Architect / Lead Data Engineer

.

· Extensive hands-on experience with

Snowflake

architecture and implementation.

· Strong expertise in

DBT

for data transformation and modeling.

· Strong experience with

Apache Airflow

for workflow orchestration.

· Strong knowledge of

Big Data technologies and distributed data processing

.

· Experience designing

Data Warehouses, Data Lakes, and/or Lakehouse architectures

.

· Strong understanding of ETL/ELT architecture and complex data pipelines.

· Experience with dimensional modeling and enterprise data modeling.

· Good understanding of

AI/ML and Generative AI data architecture

and the data requirements for AI-

based applications.

· Strong knowledge of data governance, security, data quality, and performance optimization.

· Proven experience in

team management, technical leadership, and stakeholder management

.

· Excellent communication, problem-solving, and decision-making skills.