Senior Data Engineer
- Data Engineer
- Other places
- $122 K - $190 K
- Full Time
Job expired!
CSQ424R34
As a Senior Solutions Consultant in our Professional Services team, you will collaborate with clients on short to medium-term customer engagements aimed at solving their big data challenges using the Databricks platform. Your role will involve executing data engineering, data science, and cloud technology projects which call for integration with client systems, training, and other tasks. Your work will maximize the value customers derive from their data. You will report to the Manager, Professional Services.
The impact you will have:
- You will participate in various impactful customer technical projects, potentially including the creation of reference architectures, instructions and fully functional prototypes.
- You will direct strategic customers as they initiate transformational big data projects, migrations from third-party services, and be involved in every stage of the design, build and deployment of industry-leading big data and AI applications.
- You will advise on architecture and design, kickstart or implement strategic customer projects that lead to a successful understanding, evaluation and adoption of Databricks.
- You will deliver exception level support for customer operational problems.
- You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure that the technical elements of the engagement are delivered to satisfy customer needs.
- You will collaborate with Engineering and Databricks Customer Support to provide product and implementation feedback and guide quick resolution of engagement-specific product and support issues.
What we look for:
- 6+ years of experience with big data technologies such as Spark and Kafka in a customer-facing post-sales, technical architecture or consulting role.
- 4+ years of experience independently working on big data architectures.
- Comfortable writing code in either Python or Scala.
- Previous engagement with any Cloud Platforms (GCP / AWS / Azure).
- Experience in the Databricks ecosystem would be advantageous.
- Experience interacting with clients / stakeholders and managing conflicts.
- Able to develop skills in technical areas that support the deployment and integration of Databricks-based solutions to finalize customer projects.
Benefits
- Private medical insurance
- Accident coverage
- Employee's Provident Fund
- Equity awards
- Paid parental leave
- Gym reimbursement
- Annual personal development fund
- Reimbursement for work headphones
- Business travel insurance
About Databricks
Databricks is a data and AI company. More than 5,000 organizations across the world, including Comcast, Condé Nast, and over half of the Fortune 500, depend on the Databricks Lakehouse Platform to consolidate their data, analytics and AI. Databricks' head office is in San Francisco with additional offices worldwide. Its founding team is made up of the original creators of Apache Spark™, Delta Lake and MLflow. Databricks is dedicated to aiding data teams in resolving the world’s toughest issues. For more information, follow Databricks on , and .
Our Commitment to Diversity and Inclusion
At Databricks, we are devoted to fostering a diverse and inclusive culture where everyone can excel. We ensure our hiring practices are inclusive and follow equal employment opportunity principles. All individuals seeking employment at Databricks are considered void of their age, color, disability, ethnicity, family or marital status, gender identity or expression, language, nationality, physical and mental capability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, or any other protected characteristic.
Compliance
If access to export-controlled technology or source code is required for the performance of job duties, it is at the employer's discretion to apply for a U.S. government license for such positions, and the employer may decide not to proceed with an applicant for this reason alone.
