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Sr Specialist Solutions Engineer - Data Warehousing

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Databricks

2mo ago

  • Job
    Full-time
    Senior Level
  • Data
    Software Engineering
  • Munich

AI generated summary

  • You should have experience with pre/post-sales, cloud-based data solutions, MPP and cloud data warehouses, data modeling, SQL, BI tools, programming languages, and a Bachelor's degree in a related field for this remote role with up to 30% travel.
  • You will provide technical leadership for strategic customers, guide data warehouse migrations, become an expert in cloud platforms, create best practices assets, and improve community adoption.

Requirements

  • Pre-sales or post-sales experience working with external clients across a variety of industry markets
  • Design performant, scalable, secure and cost effective cloud-based data solutions, and articulate architectures and design choices to customer's senior stakeholders.
  • Experience with design and implementation of a broad range of 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)
  • Advise customers in Data Warehousing architecture, including anticipating blockers and address them before they become an issue
  • Familiarity with common data modeling methodologies such as dimensional modeling, Data Vault, Inmon
  • Experience in SQL language or any SQL dialect (PL/SQL, Transact-SQL or others)
  • Experience with BI tools such 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
  • Production programming experience in one of the following languages - Python, Scala, or R
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience
  • This role can be remote and can travel up to 30% when needed.

Responsibilities

  • Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural and security design to development and deployment best practices.
  • Provide guidance, best practices and oversight for large-scale enterprise data warehouse migrations, serving as a trusted technical advisor to senior tech leads and executives
  • Become a technical expert in areas such as cloud platforms, data management, performance, and architecture
  • Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, workload sizing, and custom architectures
  • Create best practices assets and thought leadership content to be used by the wider field engineering team
  • Improve community adoption (through tutorials, training, hackathons, conference presentations)
  • Contribute to the Databricks Community, act as a technical SME and lead initiatives to improve efficiency beyond their immediate team.

FAQs

What is the primary role of a Sr Specialist Solutions Engineer in Data Warehousing?

A Sr Specialist Solutions Engineer in Data Warehousing provides technical leadership to guide strategic customers in successful implementations of big data projects, focusing on architectural and security design, development, and deployment best practices.

What experience is required for this role?

Candidates for this role should have pre-sales or post-sales experience working with external clients, hands-on experience with cloud-based data solutions, data technologies such as Hadoop and Apache Spark, and familiarity with data modeling methodologies. Production programming experience in Python, Scala, or R is also essential.

What are the key responsibilities of a Sr Specialist Solutions Engineer in Data Warehousing?

Key responsibilities include providing guidance, best practices, and oversight for large-scale enterprise data warehouse migrations, becoming a technical expert in cloud platforms and data management, assisting Solution Architects with technical sales aspects, creating best practices assets and thought leadership content, and contributing to the Databricks Community.

What are some of the benefits offered for this role?

Benefits for this role may include private medical insurance, life, accident & disability insurance, pension plan, equity awards, enhanced parental leaves, fitness reimbursement, annual career development fund, mental wellness resources, and more.

Databricks

Technology
Industry
1001-5000
Employees
2013
Founded Year

Mission & Purpose

Databricks is the data and AI company. More than 9,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. Attention: Databricks applicants Due to reports of phishing, we’re requesting that all Databricks applicants apply through our official Careers page at databricks.com/company/careers (good news — you are here). All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).