Director - Data Engineering
To see similar active jobs please follow this link: Remote Development jobs
£115,000 - £160,000 a year
Responsibilities:
- Own the development and maintenance of data pipelines, ETL processes, and data workflows, at scale.
- Mentor and lead multiple high-performing data engineers.
- Provide strategic direction and leadership to the data engineering team.
- Drive a culture of continuous improvement in Crux’s data engineering methodology.
- Foster a collaborative and innovative work environment, encouraging continuous learning and professional development.
- Develop and communicate a clear vision for the data engineering function within the organization.
- Collaborate with other teams to understand business requirements and translate them into effective data solutions.
- Conduct performance evaluations and support professional growth for team members.
- Collaborate with cross-functional teams, including data science, data operations, platform engineering, sales, and go-to-market teams, to ensure timely and predictable delivery of data products.
- Work closely with stakeholders to understand their data needs and deliver solutions that drive business objectives.
- Stay current with industry trends and emerging technologies in data engineering.
- Evaluate and recommend tools and technologies to enhance the organization's data capabilities.
- Develop and execute project plans, ensuring timely delivery of data solutions.
- Manage resources, budgets, and timelines for data engineering projects.
- Interface with Crux’s clients and perform the role of a Customer Success Manager.
- Demonstrate flexibility and a dynamic personality with the ability to switch contexts when working on various client initiatives, including pre-sales partnerships, post-sales customer success, onboarding new customers, and integrating new datasets using Crux’s proprietary platform.
- Knowledge of working with investment data, preferably in the Asset Management industry, would be a huge plus.
- May be required to be available for L2/L3 production support escalation.
Qualifications:
- 10+ years of hands-on experience in software development within a SaaS environment.
- 5+ years experience managing geographically dispersed teams of software or data engineers.
- Proven experience in a leadership role within data engineering or a related field.
- Demonstrated ability to lead and inspire a team to deliver high-quality results.
- Strong knowledge of data architecture, data modeling, and data management principles.
- Proficiency in database technologies, ETL processes, and data integration.
- Excellent communication and interpersonal skills.
- Experience with at least one cloud platform, preferably GCP.
- Knowledge and hands-on expertise in data lake architectures, distributed computing, and data modeling for relational and non-relational data stores.
- Prior hands-on experience using a workflow orchestration system like Apache Airflow at scale.
- Experience with cloud data warehouses like Snowflake, Databricks, Redshift, Azure Synapse, and Google BigQuery.
- Hands-on coding proficiency in modern Python, Java, SQL, JSON, and YAML.
- K8s and Docker container experience is an advantage.
- Exposure to knowledge graphs and graph databases is a huge plus.
- Sense of ownership and responsibility, with the ability to work independently with minimal supervision.
- Our team brings together technology experts, industry veterans, and entrepreneurial builders connected by our common goal: to build technology solutions that simplify major data bottlenecks.
At Crux, diversity is valued, and employees' and applicants' treatment is based on merit, talent, and qualification. We encourage people from underrepresented groups to apply. We believe the key to success is bringing together unique perspectives, and we do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. For qualified applicants with criminal histories, consideration will be consistent with the requirements of the San Francisco Fair Chance Ordinance. All your information will be kept confidential according to EEO guidelines.
About the job
Director - Data Engineering
To see similar active jobs please follow this link: Remote Development jobs
£115,000 - £160,000 a year
Responsibilities:
- Own the development and maintenance of data pipelines, ETL processes, and data workflows, at scale.
- Mentor and lead multiple high-performing data engineers.
- Provide strategic direction and leadership to the data engineering team.
- Drive a culture of continuous improvement in Crux’s data engineering methodology.
- Foster a collaborative and innovative work environment, encouraging continuous learning and professional development.
- Develop and communicate a clear vision for the data engineering function within the organization.
- Collaborate with other teams to understand business requirements and translate them into effective data solutions.
- Conduct performance evaluations and support professional growth for team members.
- Collaborate with cross-functional teams, including data science, data operations, platform engineering, sales, and go-to-market teams, to ensure timely and predictable delivery of data products.
- Work closely with stakeholders to understand their data needs and deliver solutions that drive business objectives.
- Stay current with industry trends and emerging technologies in data engineering.
- Evaluate and recommend tools and technologies to enhance the organization's data capabilities.
- Develop and execute project plans, ensuring timely delivery of data solutions.
- Manage resources, budgets, and timelines for data engineering projects.
- Interface with Crux’s clients and perform the role of a Customer Success Manager.
- Demonstrate flexibility and a dynamic personality with the ability to switch contexts when working on various client initiatives, including pre-sales partnerships, post-sales customer success, onboarding new customers, and integrating new datasets using Crux’s proprietary platform.
- Knowledge of working with investment data, preferably in the Asset Management industry, would be a huge plus.
- May be required to be available for L2/L3 production support escalation.
Qualifications:
- 10+ years of hands-on experience in software development within a SaaS environment.
- 5+ years experience managing geographically dispersed teams of software or data engineers.
- Proven experience in a leadership role within data engineering or a related field.
- Demonstrated ability to lead and inspire a team to deliver high-quality results.
- Strong knowledge of data architecture, data modeling, and data management principles.
- Proficiency in database technologies, ETL processes, and data integration.
- Excellent communication and interpersonal skills.
- Experience with at least one cloud platform, preferably GCP.
- Knowledge and hands-on expertise in data lake architectures, distributed computing, and data modeling for relational and non-relational data stores.
- Prior hands-on experience using a workflow orchestration system like Apache Airflow at scale.
- Experience with cloud data warehouses like Snowflake, Databricks, Redshift, Azure Synapse, and Google BigQuery.
- Hands-on coding proficiency in modern Python, Java, SQL, JSON, and YAML.
- K8s and Docker container experience is an advantage.
- Exposure to knowledge graphs and graph databases is a huge plus.
- Sense of ownership and responsibility, with the ability to work independently with minimal supervision.
- Our team brings together technology experts, industry veterans, and entrepreneurial builders connected by our common goal: to build technology solutions that simplify major data bottlenecks.
At Crux, diversity is valued, and employees' and applicants' treatment is based on merit, talent, and qualification. We encourage people from underrepresented groups to apply. We believe the key to success is bringing together unique perspectives, and we do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. For qualified applicants with criminal histories, consideration will be consistent with the requirements of the San Francisco Fair Chance Ordinance. All your information will be kept confidential according to EEO guidelines.