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Customer Solutions Architect

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

United States

Offer summary

Qualifications:

5+ years experience as a Data Engineer, Proficient in SQL and Enterprise Data Warehousing, Experience with Cloud architecture fundamentals, Knowledge of data flow architecture/tools, Python scripting skills.

Key responsabilities:

Support customers during onboarding, adoption, and innovation phases.
Integrate Atlan into customer tech stacks.
Drive adoption of Value Stream use cases.
Provide guidance as trusted advisor on Active Metadata.
Collaborate with Sales, Product, Engineering, and Marketing teams.

Atlan Scaleup https://atlan.com/

201 - 500 Employees

See more Atlan offers

Job description

Join Atlan and be part of the Active Metadata revolution, helping some of the world’s largest organizations unlock the true potential of their data. In this high-impact role, you'll become a trusted advisor, working closely with Atlan's most strategic customers around the globe.

Why is the role important to us?

We believe that great customer service is a company value, not a job role that you can hire for. Every single person in the company is responsible for creating delight in the lives of our users. Doing what's right for the customer is baked into the Atlan DNA.

As Atlan grows at a rapid pace, we continue to encounter diverse technology stacks, and our customers need our help in integrating Atlan into this stack. Therefore we are scaling our Customer Success Architecture group to better integrate Atlan into the customer Landscape.

Atlan is built upon an Open API framework and the Customer Solution Architecture Team will be at the forefront of driving Innovation for our customers using this framework.

As part of the Customer Solution Architecture team, be part of a highly motivated and driven Customer Experience group working with amazing data teams at customers such as Plaid, Monster and We Work

If you're looking for a high-impact opportunity at a fast-growing startup and truly believe that user and customer delight can be one of the biggest moats for a company, this is the role for you.

Key Responsibilities:

At Atlan, the customer Journey is broken into three parts - Onboarding, Adoption and Innovation. The Customer Solution Architects(CSA) are integral in helping our customers through all three phases of their journey.

The CSA team works closely with the Customer Success Manager as well as Customer teams of Data Architects, Data Engineers and Data Platform owners to onboard customers onto Atlan, drive Atlan adoption through Value Streams and use the power of Active Metadata to automate and innovate.

During the Onboarding phase, the CSA team focuses on Integrating Atlan into the customer tech stack. Integrations include Snowflake, Redshift, Databricks, Bigquery, DBT, Tableau, Looker and many more.

During the Adoption phase, the CSA team focuses on driving Value Stream adoption for use cases such as Data Discovery, Data Governance, Metric Management, Embedded collaboration and more.

During the Innovation phase, the CSA team drives significant customer value by using Active Metadata to power automation and Innovation in the form of use cases such as Auto PII detection, Active metadata management, dynamic data pipeline management and more.

The CSA team is also the bridge between the Customer Experience Group and Product and Engineering, working closely to ensure customer feedback is communicated to product, and guiding the future growth of Atlan.

As part of the the CSA team, you will build expertise in tools in the Modern Data Stack and be the trusted advisor to help and guide Customer stakeholders

As part of the CSA team, you will partner closely with Sales, Product, Engineering and Marketing to build thought leadership and expertise in Active Metadata category!

What Makes You a Fit?

You have 5+ years experience as a Data Engineer + customer facing technologist e.g (Solutions Architect, Consulting, Field Engineer, Solutions Engineer, Sales Engineer).

Extensive experience across the different types of tooling in the data estate including OLAP/OLTP databases, data warehouses, ETL, BI, etc.

You are proficient in SQL and have a good understanding of Enterprise Data Warehousing and Data lake architecture, with previous experience in Redshift, Snowflake, Databricks, BigQuery or similar.

Experience in Python scripting, and a desire to deepen your knowledge in current technologies as well as learn new ones.

Knowledge of Cloud architecture fundamentals - Highly available fault tolerant systems, IAM policies, security groups, networking (vpc peering and privatelink)

Experience/Knowledge of Data flow architecture/orchestration/transformation tools

Expertise in managing customer challenges to resolution

Based remotely in the United States with the willingness to occasionally travel to customers.