Databricks
About this role
Databricks sells the data and AI platform, and Forward Deployed Engineers are the people who build
and productionise customer solutions on it. You own the architecture, lead design decisions and
implement end to end systems spanning data engineering, AI and application development, integrating
with client systems and training their teams along the way. The posting is honest that this is a
hands-on, customer facing builder role and that FDEs are billable, meaning you deliver projects to
scope. The technical bar is real: 8+ years plus deep distributed computing experience with Apache
Spark including knowledge of Spark runtime internals. This is the third of today's three genuinely
remote roles, with 20 percent customer travel stated plainly. Apply if you want delivery work with
serious engineering behind it.
and productionise customer solutions on it. You own the architecture, lead design decisions and
implement end to end systems spanning data engineering, AI and application development, integrating
with client systems and training their teams along the way. The posting is honest that this is a
hands-on, customer facing builder role and that FDEs are billable, meaning you deliver projects to
scope. The technical bar is real: 8+ years plus deep distributed computing experience with Apache
Spark including knowledge of Spark runtime internals. This is the third of today's three genuinely
remote roles, with 20 percent customer travel stated plainly. Apply if you want delivery work with
serious engineering behind it.
Who this is for
Requirements. 8+ years of experience in data engineering, data platforms and analytics, or software
engineering. Deep experience with distributed computing using Apache Spark and knowledge of Spark
runtime internals. Experience with technical project delivery: managing scope, timelines and
measurable outcomes, and translating complex concepts into actionable solutions.
What you would do. Work with customers to build and productionise solutions to their data and AI
challenges on the Databricks platform. Own the architecture, lead design decisions and implement end
to end systems spanning data engineering, AI and application development. Work cross functionally to
shape long term strategic priorities alongside engineering, product and developer relations. Deliver
with customer empathy, integrating with client systems, training and other technical needs so
customers get the most value from their data. Build skills in new technical areas that support the
deployment and integration of Databricks based solutions.
⭐ Remote, with a stated cost. The board lists this as Remote, India and nothing in the body imposes an
office requirement. The posting does state "Travel to customers 20% of the time", so this is remote
with regular customer visits rather than remote and stationary. That is disclosed here because remote
is the most requested thing on this board and the detail changes whether it works for you.
How the posting describes itself, worth reading before applying. "This is a hands-on, customer-facing
role for builders who thrive at the intersection of technology and business impact", and "FDEs are
billable and know how to complete projects according to" scope. Billable delivery work has a different
rhythm from product engineering: timelines are committed to customers.
Who this is for. A data or platform engineer with eight or more years and genuine Spark depth, who
wants customer facing delivery and can travel a fifth of the time. Spark runtime internals is the
distinguishing requirement and it is not something you can pick up in the interview loop.
engineering. Deep experience with distributed computing using Apache Spark and knowledge of Spark
runtime internals. Experience with technical project delivery: managing scope, timelines and
measurable outcomes, and translating complex concepts into actionable solutions.
What you would do. Work with customers to build and productionise solutions to their data and AI
challenges on the Databricks platform. Own the architecture, lead design decisions and implement end
to end systems spanning data engineering, AI and application development. Work cross functionally to
shape long term strategic priorities alongside engineering, product and developer relations. Deliver
with customer empathy, integrating with client systems, training and other technical needs so
customers get the most value from their data. Build skills in new technical areas that support the
deployment and integration of Databricks based solutions.
⭐ Remote, with a stated cost. The board lists this as Remote, India and nothing in the body imposes an
office requirement. The posting does state "Travel to customers 20% of the time", so this is remote
with regular customer visits rather than remote and stationary. That is disclosed here because remote
is the most requested thing on this board and the detail changes whether it works for you.
How the posting describes itself, worth reading before applying. "This is a hands-on, customer-facing
role for builders who thrive at the intersection of technology and business impact", and "FDEs are
billable and know how to complete projects according to" scope. Billable delivery work has a different
rhythm from product engineering: timelines are committed to customers.
Who this is for. A data or platform engineer with eight or more years and genuine Spark depth, who
wants customer facing delivery and can travel a fifth of the time. Spark runtime internals is the
distinguishing requirement and it is not something you can pick up in the interview loop.
Apply on company site
Opens databricks.com, the employer's own application page. Applying is always free.