Fivetran
About this role
This is the most genuinely greenfield role in today's edition. Fivetran is building what it calls an
Enterprise Context Platform: a durable memory layer that stores not just metadata but meaning, the
decisions, intent, rationale and history behind an organisation's data, and exposes it safely to
humans, agents and applications. You would architect and build the core platform, design the schemas
and primitives for what the posting calls Decision Memory, own the context storage systems across
graph, vector and event or time based stores, and build the permission aware, auditable read, write
and query APIs that agents and products call. The posting describes it as high leverage with
company level impact. Apply if you want to design something from first principles rather than extend
it.
Enterprise Context Platform: a durable memory layer that stores not just metadata but meaning, the
decisions, intent, rationale and history behind an organisation's data, and exposes it safely to
humans, agents and applications. You would architect and build the core platform, design the schemas
and primitives for what the posting calls Decision Memory, own the context storage systems across
graph, vector and event or time based stores, and build the permission aware, auditable read, write
and query APIs that agents and products call. The posting describes it as high leverage with
company level impact. Apply if you want to design something from first principles rather than extend
it.
Who this is for
⚠️ This posting states no years of experience anywhere, so the experience figure is left empty rather
than guessed, per the standing rule here. That means this row appears in no experience band on the
page filter. Judge the level from the scope: the title says Staff and the work is architecting a new
platform, so treat it as a senior seat.
The role. Fivetran is building the next foundational layer of the analytics stack: an Enterprise
Context Platform that captures, stores and exposes organisational decision memory. As a seasoned
engineer on Context Platform Systems you would architect and build the durable memory substrate that
powers agentic analytics workflows. The platform stores not just metadata but meaning: decisions,
intent, rationale and history, made safely accessible to humans, agents and applications. The posting
calls it a greenfield, high leverage role with company level impact.
What you would do. Prototype technical solutions and find the best fit for the context engine.
Architect and build the core Context Platform. Design schemas and primitives for Decision Memory and
enterprise context. Own context storage systems across graph, vector and event or time based stores.
Build read, write and query APIs used by agents, products and external applications. Design
permission aware, auditable access.
⚠️ Fivetran priority flags. Fivetran publishes an internal "Priority Status" on some requisitions, and
values like "P3 (Future Open)" and "P2 (Internal Resources)" mean the role is not open to external
applicants even though the apply page loads normally and returns a healthy response. This posting
carries no flag. Two Fivetran roles were excluded from today's edition because they did.
Office and company. Bangalore, hybrid at two office days a week. Fivetran is merging with dbt Labs and
warns you will see both brand names during recruiting.
Who this is for. A senior engineer who is comfortable with ambiguity and has built storage or
retrieval systems before. Graph, vector and temporal storage in one system is an unusual combination
and a genuinely interesting design problem.
than guessed, per the standing rule here. That means this row appears in no experience band on the
page filter. Judge the level from the scope: the title says Staff and the work is architecting a new
platform, so treat it as a senior seat.
The role. Fivetran is building the next foundational layer of the analytics stack: an Enterprise
Context Platform that captures, stores and exposes organisational decision memory. As a seasoned
engineer on Context Platform Systems you would architect and build the durable memory substrate that
powers agentic analytics workflows. The platform stores not just metadata but meaning: decisions,
intent, rationale and history, made safely accessible to humans, agents and applications. The posting
calls it a greenfield, high leverage role with company level impact.
What you would do. Prototype technical solutions and find the best fit for the context engine.
Architect and build the core Context Platform. Design schemas and primitives for Decision Memory and
enterprise context. Own context storage systems across graph, vector and event or time based stores.
Build read, write and query APIs used by agents, products and external applications. Design
permission aware, auditable access.
⚠️ Fivetran priority flags. Fivetran publishes an internal "Priority Status" on some requisitions, and
values like "P3 (Future Open)" and "P2 (Internal Resources)" mean the role is not open to external
applicants even though the apply page loads normally and returns a healthy response. This posting
carries no flag. Two Fivetran roles were excluded from today's edition because they did.
Office and company. Bangalore, hybrid at two office days a week. Fivetran is merging with dbt Labs and
warns you will see both brand names during recruiting.
Who this is for. A senior engineer who is comfortable with ambiguity and has built storage or
retrieval systems before. Graph, vector and temporal storage in one system is an unusual combination
and a genuinely interesting design problem.
Apply on company site
Opens www.fivetran.com, the employer's own application page. Applying is always free.