Snowflake Architect-AI and Data Solutions Engineer

Deloitte Development LLC

Bengaluru

On-site

INR 3,000,000 - 5,200,000

Full time

14 days+
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Job summary

Deloitte Consulting is seeking an AI and Data Solutions Engineer to design, develop, and deploy enterprise-scale data solutions. You will lead the creation of robust Snowflake pipelines, guide cross-functional teams, and mentor junior members across global projects.

You will collaborate with business analysts to translate requirements into scalable data architectures, ensure security and compliance, and drive timely delivery through the full project lifecycle.

Qualifications

  • 6-9 years in data architecture, with at least 2+ years focused on Snowflake.
  • Responsible for designing, implementing, and maintaining scalable data solutions using Snowflake’s cloud-based data platform.
  • Snowflake advanced features (Streams, Tasks, Zero Copy Cloning, Data Sharing).
  • SQL, Python, or Spark for data transformation and scripting.
  • Experience with ETL/ELT tools (Informatica, Talend, Matillion, Fivetran, etc.).
  • Familiarity with cloud environments (AWS, Azure, GCP).
  • Understanding of data visualization/BI tools (Tableau, Power BI).
  • Experience in developing on J2EE platforms, .Net platforms, RDBMS platforms (Oracle, MySQL, SQL Server)
  • Develop robust and scalable Snowflake data architectures.
  • Design ETL pipelines, data governance frameworks, and efficient schema models.

Responsibilities

  • Lead design and deployment of Snowflake data architectures.
  • Lead complex data migration and integration projects across business units.
  • Develop and maintain scalable data pipelines and governance frameworks.
  • Collaborate with Data Engineers, BI teams, and stakeholders to ensure quality delivery.
  • Create documentation and mentor junior team members.
  • Design and implement RBAC and data security controls.
  • Monitor and optimize data quality, lineage, and platform health.

Skills

Snowflake experience
SQL
Python
Spark
ETL/ELT
Cloud platforms
BI tools
Java/J2EE
.NET
Data governance
RBAC
Data security

Education

BE/B.Tech/MCA/M.Sc

Tools

Snowflake
Informatica
Talend
Matillion
Fivetran
Tableau
Power BI
Teradata
Redshift
SQL Server
Oracle
MySQL

Job description

Artificial Intelligence & Engineering

AI & Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions insights are powered by engineering for business advantage, helping transforming mission-critical operations.


Join our AI & Engineering team to help in transforming technology platforms, driving innovation, and helping help make a significant impact on our clients' success achievements. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are could be critical to businesses.


Level: AI and Data Solutions Engineer

As an AI and Data Solutions Engineer at Deloitte Consulting, you will design, develop, and deploy enterprise-scale software solutions, lead the creation of robust pipelines and manage code deployment across environments. You will collaborate with cross-functional, global teams to translate functional requirements into effective deliverables, independently guiding and mentoring junior team members. Your role spans the full project lifecycle, including estimation, planning, execution, and tracking key metrics for analysis, ensuring high-quality and timely delivery of solutions.


Work you’ll do:

Lead discussions with business and functional analysts to understand requirements and assess integration impacts on business architecture. Prepare technical architecture and design, clarify requirements, and resolve ambiguities. Develop solutions in line with established technical designs, integration standards, and quality processes. Create and enforce technical design and development guides, templates, and standards. Facilitate daily scrum meetings, manage deliverables, and prepare weekly status reports for leadership review. Conduct detailed deliverable reviews and provide technical guidance to team members. Collaborate with onsite clients, coordinators, analysts, and cross-functional teams. Design templates or scripts to automate routine development or operational tasks.


The team:

AI & Data offers a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.


AI & Data professionals will work with our clients to:


  • Design and modernize large-scale data and analytics platforms including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud, edge and AI/ML technologies, platforms and methodologies for storage, processing

  • Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions

  • Drive operational efficiency by managing and upgrading their data ecosystems and application platforms, utilizing analytics expertise and providing As-a-Service models to ensure continuous insights and enhancements.


Location

Bengaluru/Hyderabad/Pune/Chennai


Qualifications

Required


  • 6-9 years in data architecture, with at least 2+ years focused on Snowflake.

  • Responsible for designing, implementing, and maintaining scalable data solutions using Snowflake’s cloud-based data platform. This position requires hands-on experience with cloud data warehousing, a deep understanding of Snowflake features and architecture, and the ability to lead complex data migration and integration projects across business units.

  • Snowflake advanced features (Streams, Tasks, Zero Copy Cloning, Data Sharing).

  • SQL, Python, or Spark for data transformation and scripting.

  • Experience with ETL/ELT tools (Informatica, Talend, Matillion, Fivetran, etc.).

  • Familiarity with cloud environments (AWS, Azure, GCP).

  • Understanding of data visualization/BI tools (Tableau, Power BI).

  • Experience in developing on J2EE platforms, .Net platforms, RDBMS platforms (Oracle, MySQL, SQL Server)

  • Develop robust and scalable Snowflake data architectures.

  • Design ETL pipelines, data governance frameworks, and efficient schema models.

  • Ensure security, compliance, and cost optimization within Snowflake environments.

  • Lead end-to-end implementation of Snowflake solutions, including integration with third-party data sources and downstream analytics tools.

  • Write efficient SQL and leverage Snowflake’s features (e.g., Streams, Tasks, Time Travel, Cloning).

  • Assess existing data warehouse solutions (e.g., Teradata, Redshift, SQL Server).

  • Build strategies for migration to Snowflake, focusing on minimal disruption and maximum data integrity.

  • Continuously optimize performance and cost through warehouse sizing, partitioning, and indexing strategies.

  • Work closely with Data Engineers, Business Intelligence teams, and key business stakeholders.

  • Provide technical guidance and mentor junior team members.

  • Create documentation, conduct workshops, and manage Snowflake roadmaps.

  • Implement robust RBAC (Role-Based Access Control).

  • Design and automate monitoring solutions for data quality, lineage, and platform health.

  • Ensure platform compliance with relevant industry standards (HIPAA, GDPR, etc.).


Preferred


  • Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.

  • Experience maintaining internet facing production-grade applications in virtualized environments in Cloud Platform.

  • Project management experience is a plus.

  • Certified Associate or Professional


Education


  • BE/B.Tech/M.C.A./M.Sc degree or equivalent from accredited university


#AIE2027


#AIEArchitect

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