Lead the technical strategy for customers, owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects.
Responsibilities
Own the end-to-end technical strategy for accounts
Lead complex architecture discussions
Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
Drive technical wins in competitive scenarios
Develop and declare an emerging technical specialization
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
Nice to have: Databricks certifications
Nice to have: Snowflake
Nice to have: Azure Synapse
Nice to have: industry domain expertise (Manufacturing/Automotive, FSI/Insurance, Retail, Energy/Utilities, Telco)
Lead a team of data engineers in developing and implementing Big Data solutions; design and build scalable and reliable data pipelines and ETL processes; ensure data quality, integrity, and security across all data systems; collaborate with stakeholders to understand and address business requirements; provide technical guidance and mentorship to junior team members; stay current with industry trends and technologies related to Big Data and data engineering; perform data analysis and troubleshooting to optimize system performance and efficiency; develop and maintain documentation for data processes, systems, and infrastructure.
Responsibilities
Lead a team of data engineers in developing and implementing Big Data solutions
Design and build scalable and reliable data pipelines and ETL processes
Ensure data quality, integrity, and security across all data systems
Collaborate with stakeholders to understand and address business requirements
Provide technical guidance and mentorship to junior team members
Lead a team of data engineers in developing and implementing Big Data solutions; design and build scalable and reliable data pipelines and ETL processes; ensure data quality, integrity, and security across all data systems; collaborate with stakeholders to understand and address business requirements; provide technical guidance and mentorship to junior team members; stay current with industry trends and technologies related to Big Data and data engineering; perform data analysis and troubleshooting to optimize system performance and efficiency; develop and maintain documentation for data processes, systems, and infrastructure.
Responsibilities
Lead a team of data engineers in developing and implementing Big Data solutions
Design and build scalable and reliable data pipelines and ETL processes
Ensure data quality, integrity, and security across all data systems
Collaborate with stakeholders to understand and address business requirements
Provide technical guidance and mentorship to junior team members
Lead a team of data engineers to design, build, and maintain scalable data pipelines and ETL processes, ensuring data quality, integrity, and security while collaborating with stakeholders and mentoring junior team members.
Responsibilities
Lead a team of data engineers in developing and implementing Big Data solutions
Design and build scalable and reliable data pipelines and ETL processes
Ensure data quality, integrity, and security across all data systems
Collaborate with stakeholders to understand and address business requirements
Provide technical guidance and mentorship to junior team members
Design and develop scalable data processing systems; implement and maintain data pipelines; optimize data infrastructure; collaborate with data scientists and analysts; troubleshoot data-related issues; stay current with emerging technologies; mentor junior data engineers.
Responsibilities
Design and develop scalable data processing systems
Implement and maintain data pipelines to ingest, process, and store large volumes of data
Optimize data infrastructure for performance and reliability
Collaborate with data scientists and analysts to understand data requirements and implement appropriate solutions
Troubleshoot and resolve data-related issues in a timely manner
Lead a team of data engineers in developing and implementing Big Data solutions; design and build scalable and reliable data pipelines and ETL processes; ensure data quality, integrity, and security across all data systems; collaborate with stakeholders to understand and address business requirements; provide technical guidance and mentorship to junior team members; stay current with industry trends and technologies related to Big Data and data engineering; perform data analysis and troubleshooting to optimize system performance and efficiency; develop and maintain documentation for data processes, systems, and infrastructure.
Responsibilities
Lead a team of data engineers in developing and implementing Big Data solutions
Design and build scalable and reliable data pipelines and ETL processes
Ensure data quality, integrity, and security across all data systems
Collaborate with stakeholders to understand and address business requirements
Provide technical guidance and mentorship to junior team members
Solutions ArchitectNewDatabricks · Stockholm, Sweden