Dbt Cloud Solution Architect

Siemens

Pune District

On-site

INR 1,800,000 - 2,800,000

Full time

5 days ago

Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

Siemens Digital Industries Software in Pune invites a hands-on dbt Cloud Solution Architect to lead the architecture and optimization of our dbt Cloud on Snowflake data platform for the Global Customer Success group.

You will refactor pipelines, implement scalable, cost-efficient patterns, and mentor engineers while translating complex requirements into robust architectures for analytics, AI use cases, and data products.

Qualifications

dbt Cloud production experience
Snowflake SQL transformations optimization
CI/CD for analytics engineering

Responsibilities

Own the architecture and engineering standards for dbt Cloud on Snowflake.
Optimize query behavior and telemetry to reduce compute costs.
Design incremental processing strategies and workload sizing for large datasets.
Establish CI/CD controls, automated validation gates, and auditable release processes.
Define observability standards for data products and reliability.
Mentor data engineers through design and code reviews with reusable examples.

Skills

dbt Cloud

Snowflake

Analytics Engineering

Efficiency Mindset

DevOps for Data

Communication

Job description

Job Description:

dbt Cloud Solution Architect

Location: Pune, India Organization: Siemens Digital Industries Software (DISW)

Company Overview

Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software. At Siemens, we are blurring the boundaries between the real and digital worlds to help our customers transform their businesses.

Position Overview

We are looking for a dbt Cloud Solution Architect in Pune to lead the technical evolution of our dbt Cloud and Snowflake transformation layer. This layer is the backbone for data products, advanced analytics, and AI use cases within our Global Customer Success organization.

Your primary mission is to build a highly economical, scalable, and resilient data platform. This is a hands-on architecture role. You will not just design documentation; you will dive into complex workloads, refactor fragile pipelines, and establish the engineering standards that enable our data engineers to deliver high-quality bronze, silver, and gold data layers.

Key Responsibilities

Technical Leadership: Own the architecture and engineering standards for dbt Cloud on Snowflake, including project structure, model layering, dependencies, and deployment patterns.
Cost & Performance Optimization: Analyze query behavior and job telemetry to reduce marginal compute costs, identifying and prioritizing high-return optimizations.
Advanced Pipeline Design: Design incremental processing strategies, materialization patterns, and workload sizing for high-volume, complex datasets.
Production Excellence: Establish robust CI/CD controls, automated validation gates, regression detection, and auditable release processes across DEV, QUA, and PRD environments.
Operational Monitoring: Define observability standards for data products, ensuring reliability for downstream data scientists, dashboard developers, and AI application owners.
Mentorship & Collaboration: Coach data engineers through design reviews and code reviews, providing reusable examples and technical documentation to elevate the team’s collective capability.

Required Knowledge, Skills, and Experience

dbt Expertise: Advanced, hands-on experience with dbt Cloud in production environments. Deep dbt capability is a non-negotiable requirement.
Snowflake Proficiency: Demonstrated experience refactoring and optimizing large-scale SQL transformations specifically on the Snowflake Data Cloud.
Analytics Engineering: Strong knowledge of dbt macros, packages, lineage, snapshots, and complex materialization strategies.
Efficiency Mindset: Proven ability to measure and improve cloud data workloads using query profiles, execution history, and warehouse job telemetry.
DevOps for Data: Experience designing CI/CD and release-management practices (Git-based) for analytics engineering.
Communication: Ability to translate complex business requirements into maintainable technical architecture and communicate tradeoffs clearly to a global team.

Preferred Qualifications

Official dbt Certification.
Expertise in Snowflake performance tuning and credit consumption management.
Experience supporting AI/ML workloads or customer health telemetry.
Familiarity with data contracts, semantic layers, and enterprise data governance.

What Success Looks Like

Measurable reduction in normalized Snowflake compute consumption and job runtimes.
A fully adopted library of reusable dbt patterns and engineering standards.
A functioning, automated path from development to production with reliable rollback practices.
High observability and documentation coverage across all production dbt workloads.

We are Siemens

A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We’re dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow.

Diversity at Siemens

Siemens is an equal‑opportunity employer. We believe that diversity, in all its forms, is the engine of innovation. We are committed to creating an inclusive environment where every employee can reach their full potential, regardless of gender, disability, or background.

Job Metadata