招聘
Job Requisition ID
26WD95901
Position Overview:
We are looking for an experienced Data Architect to join our Customer Success Analytics team within Customer Success. This role will serve as the technical cornerstone of our team, responsible for designing and building the foundational data infrastructure that powers our analytics. You will lead the effort to architect a unified, scalable, and governed data ecosystem, transforming disparate data sources into a single source of truth that enables critical insights for retention and growth.
Responsibilities:
As a Data Architect, you are responsible for defining the technical vision and structure of our data platform. You will move beyond ad-hoc querying to build robust, automated, and modular data pipelines in partnership with data engineers and analysts across the company.
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Architect and implement a comprehensive data strategy on Snowflake, moving the team from manual processes to a fully automated, resilient data warehouse environment
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Design and maintain scalable dimensional data models that consolidate logic from various internal and external sources, ensuring consistency across all reporting and analytics
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Develop and manage end-to-end data transformation pipelines using dbt(data build tool) and Python, ensuring rigorous testing, documentation, and version control
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Orchestrate complex workflows using tools like Airflow to ensure timely and reliable data delivery for downstream dashboards and stakeholders
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Establish data governance frameworks, including data quality monitoring, lineage tracking, and naming standards, to ensure trust and accuracy in our metrics
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Audit and streamline existing legacy code and processes, refactoring them into modern, efficient, and maintainable architectures
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Act as the technical subject matter expert, mentoring the team on SQL best practices, data modeling techniques, and engineering standards
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Collaborate with business stakeholders and analysts to translate complex business requirements into clean, performant technical solutions
Minimum Qualifications:
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8+ Years of relevant work experience in Data Architecture, Data Engineering, or BI Architecture
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Expert-level proficiency with Snowflake architecture, including performance tuning, cost optimization, and advanced SQL (CTEs, window functions)
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Deep hands-on experience with the modern data stack, specifically dbt for transformation and modeling
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Strong proficiency in Python for data manipulation, scripting, and automation
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Experience with workflow orchestration tools (e.g., Airflow) to manage pipeline dependencies
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Strong understanding of Git-based workflows, CI/CD, and code review processes
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Experience designing data structures that integrate seamlessly with BI tools (e.g., Power BI, Tableau)
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Experience with the post-purchase journey of a cloud product company is a strong plus
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Knowledge of SaaS business models and key metrics (e.g., Retention, Churn, Adoption) is preferred
The Ideal Candidate
The ideal candidate will have a visionary mindset with the technical expertise to execute it and will be a self‑starter who takes ownership and drives initiatives forward with minimal oversight. You are a "builder" who thrives on creating structure from ambiguity, someone who can look at a scattered data landscape and architect a cohesive, efficient system. A deep understanding of modern cloud data warehousing, a passion for clean code and architecture, and the ability to bridge the gap between technical complexity and business value is essential.
Learn More
About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Sales Careers
Working in sales at Autodesk allows you to build meaningful relationships with customers while growing your career. Join us and help make a better, more sustainable world. Learn more here: https://www.autodesk.com/careers/sales
Diversity & BelongingWe take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).
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About Autodesk
Reviews
3.9
10 reviews
Work Life Balance
4.2
Compensation
3.5
Culture
4.0
Career
3.2
Management
3.1
72%
Recommend to a Friend
Pros
Great work-life balance
Strong company culture and team environment
Competitive compensation and benefits
Cons
Recent layoffs and job security concerns
Poor management in some teams
Limited career advancement and promotion opportunities
Salary Ranges
1,443 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Associate Business Intelligence Analyst
2 reports
$131,955
total / year
Base
$101,504
Stock
-
Bonus
-
$131,955
$131,955
Interview Experience
2 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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