FEQ227R130

As a Specialist Solutions Architect (SSA), you will guide customers in building big data solutions on Databricks that span a large

variety of use cases. These are customer-facing roles, working with and supporting the Solution Architects, requiring hands-on

production experience with Apache Spark™ and expertise in other data technologies. SSAs help customers through design and

successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks

Lakehouse Platform. As a deep go-to-expert reporting to the Director of Field Engineering, you will continue to strengthen your

technical skills through mentorship, learning, and internal training programs and establish yourself in an area of specialty -

whether that be performance tuning, machine learning, industry expertise, or more.

The impact you will have:

Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from

architectural design to data engineering to model deployment

Architect production level workloads, including end-to-end pipeline load performance testing and optimisation
Provide technical expertise in an area such as data management, cloud platforms, data science, machine learning, or

architecture

Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content,

estimating workload sizing, and custom architectures

Improve community adoption (through tutorials, training, hackathons, conference presentations)
Contribute to the Databricks Community

What we look for:

You will have experience in a customer-facing technical role with expertise in at least one of the following:
Software Engineer/Data Engineer: query tuning, performance tuning, troubleshooting, and debugging Spark or other big data

solutions.

Data Scientist/ML Engineer: model selection, model lifecycle, hyper parameter tuning, model serving, deep learning.
Data Applications Engineer: Build use cases that use data - such as risk modelling, fraud detection, customer life-time

value.

Experience with design and implementation of big data technologies such as Spark/Delta, Hadoop, NoSQL, MPP, OLTP, and OLAP.
Maintain and extend production data systems to evolve with complex needs.
Production programming experience in Python, R, Scala or Java
Deep Specialty Expertise in at least one of the following areas:
Experience scaling big data workloads that are performant and cost-effective.
Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools and

SQL Interfaces.

Experience designing data solutions on cloud infrastructure and services, such as AWS, Azure, or GCP using best practices in

cloud security and networking.

Experience with ML concepts covering Model Tracking, Model Serving and other aspects of productionizing ML pipelines in

distributed data processing environments like Apache Spark, using tools like MLflow.

Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
Native level Korean is required and Business level English is a plus

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and

over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.

Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse,

Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific

details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to

ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment

at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or

expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation,

socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's

discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an

applicant on this basis alone.

Roll

Specialist Solutions Architect

Kategori

Data/IT

Plats

Seoul

Publicerad

17 juli

Sista ansökningsdag

16 augusti

Källa

Arbetsgivarens hemsida

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