Specialist Solutions Architect - DE/DWH

Databricks

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London, United Kingdom First seen 3 weeks ago Last seen 5 hours, 28 minutes ago Greenhouse

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Job Description

AI Summary

• Guide strategic customers through designing and implementing large-scale data solutions on Databricks, from architecture to deployment, while serving as a deep technical expert in data engineering and data warehousing • Architect and optimize production-level data pipelines with hands-on expertise in Apache Spark, performance tuning, and big data technologies like Delta Lake, Hadoop, and cloud platforms (AWS, Azure, GCP) • Provide technical leadership to Solution Architects on complex sales efforts, including proof-of-concepts, workload sizing, and custom architectures while mentoring others and contributing to the community • Requires extensive customer-facing technical experience, production data engineering background with SQL/Python/Scala/Java, and deep specialization in areas like big data streaming, ingestion pipelines, or cloud data lake migration • Based in London with approximately 20-30% travel; Databricks Certification and Bachelor's degree in Computer Science/Engineering preferred; opportunity to develop expertise and grow through mentorship and internal training programs

Req: FEQ127R163

Location: London

Recruiter: Dina Hussain

Skills: Data Engineering/DWH

As a Specialist Solutions Architect (SSA) - Data Engineering, you will guide customers in building big data solutions on Databricks that span a large variety of use cases. You will be in a customer-facing role, working with and supporting Solution Architects, and will require hands-on production experience with Apache Spark™ and expertise in other data technologies. SSEs help customers through the design and successful implementation of essential workloads while aligning their technical roadmap to expand the use of the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Senior Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs, and establish yourself in an area of speciality - whether that be streaming, performance tuning, 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 data pipelines, including end-to-end pipeline load performance testing and optimisation
Become a technical expert in an area such as data lake technology, big data streaming, or big data ingestion and workflows
Assist Solution Architects with more advanced aspects of the technical sale, including custom proof of concept content, estimating workload sizing, and custom architectures
Provide tutorials and training to improve community adoption (including hackathons and conference presentations)
Contribute to the Databricks Community

What we look for:

Extensive experience in a customer-facing technical role. Pre-sales or post-sales experience working with external clients across a variety of industry markets
Nice to have: Databricks Certification
Travelling approx. 20-30% of the time

Data Engineer Skills

Experience as a Data Engineer: query tuning, performance tuning, troubleshooting, and debugging Spark or other big data solutions.
Extensive experience building big data pipelines
Experience in maintaining and extending production data systems to evolve with complex needs
Deep Speciality Expertise in at least one of the following areas:
Experience scaling big data workloads (such as ETL) that are performant and cost-effective
Experience migrating Hadoop workloads to the public cloud - AWS, Azure, or GCP
Experience with large-scale data ingestion pipelines and data migrations - including CDC and streaming ingestion pipelines
Expert with cloud data lake technologies - such as Delta and Delta Live
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
Production programming experience in SQL and Python, Scala, or Java
Professional experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures

Data Warehousing, Database Skills

Experience with the design and implementation of a broad range of analytical and transactional data technologies such as Hadoop, Apache Spark™, NoSQL, OLTP, OLAP, and ETL/ELT.
Hands-on experience working with MPP data warehouse appliances (Oracle Exadata, Teradata, IBM Netezza) or cloud data warehouses (Amazon Redshift, Azure Synapse, Snowflake)
Hands-on experience with RDBMS systems (PostGres, MySQL, SQL Server, Oracle, MariaDB)
Experience in SQL language or any SQL dialect (PL/SQL, Transact-SQL or others)
Experience with BI tools such as Power BI, Tableau, Qlik, or others
Knowledge of development tools and best practices for data engineers, including CI/CD, unit and integration testing, plus automation and orchestration
Expertise in data warehousing - such as query tuning, performance tuning, troubleshooting, and debugging MPP data warehouses or other big data solutions. Maintained, extended, or migrated a production data warehouse system to evolve with complex customer needs.
Production programming experience in PySpark.

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, please visit https://www.mybenefitsnow.com/databricks.

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.

Skills

go sql aws java python

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Job Information

Company:
Databricks
Location:
London, United Kingdom
Job Type:
Internship
Experience Level:
Senior
Source:
Greenhouse
Status:
Active

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66 /100

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