SailPoint
Staff Data Engineer – Streaming Data Systems
Location:
REMOTE Team:
Data Platform Level:
Staff
About the Role We are looking for a
Staff Data Engineer
with deep expertise in
streaming data architectures
to drive the evolution of our real-time data platform. This role is highly technical and hands‑on — ideal for someone who thrives on solving complex scaling challenges, architecting low‑latency systems, and leading teams to deliver high‑quality streaming data solutions that power analytics, machine learning, and core product features.
As a senior member of the data engineering team, you’ll shape the technical direction of our streaming ecosystem and help define best practices for how data flows through our organization.
Responsibilities
Architect and lead
the design and implementation of scalable, fault‑tolerant
streaming data pipelines
using platforms such as
Apache Kafka, Flink, Spark Structured Streaming, or Kinesis .
Evolve the real‑time data platform
to support new business use cases, ensuring low‑latency data delivery and high reliability.
Partner with
data scientists, product engineers, and platform teams
to design data models and streaming APIs that enable real‑time insights and decision‑making.
Drive
data quality, observability, and governance
across streaming systems, including schema management, lineage, and monitoring.
Optimize pipeline performance, reliability, and cost across multiple environments (cloud and on‑prem).
Lead
code reviews, architecture reviews, and technical mentoring
for other engineers.
Establish and champion
best practices
for streaming data engineering, deployment automation, and CI/CD for data systems.
Collaborate with platform teams to ensure data systems are
secure, compliant, and highly available .
Qualifications Required:
8+ years of experience in
data engineering , with at least 3+ years in
real‑time or streaming systems .
Deep expertise with
Kafka
(or equivalent message brokers), including schema registry, partitioning strategies, and consumer group management.
Hands‑on experience with
stream processing frameworks
(e.g., Apache Flink, Spark Structured Streaming, Kafka Streams).
Strong proficiency in
Python, Scala, or Java , and familiarity with data pipeline orchestration tools (Airflow, Dagster, etc.).
Solid understanding of
distributed systems, networking, and storage .
Experience with
cloud platforms
(AWS, GCP, or Azure) and managed streaming services (Kinesis, Pub/Sub, etc.).
Familiarity with
data modeling, lakehouse architectures, and batch + streaming integration .
Preferred:
Experience building
exactly‑once
or
idempotent
streaming pipelines.
Knowledge of
data governance, lineage, and observability tools
(e.g., Datadog, Prometheus, OpenLineage).
Prior experience leading a data platform or mentoring senior engineers.
Exposure to
machine learning feature pipelines
or
event‑driven microservices .
What You’ll Bring
A strong sense of ownership and curiosity for optimizing data flow in complex environments.
Ability to think strategically while delivering practical, scalable solutions.
Leadership in driving cross‑team collaboration and influencing architectural direction.
Passion for helping teams move from
batch‑oriented thinking
to
event‑driven design .
Why Join Us You’ll play a pivotal role in
building the next generation of our data platform , enabling real‑time insights that directly impact business outcomes. We invest in engineering excellence, autonomy, and continuous learning — and we’re looking for a Staff Data Engineer who shares that vision.
Benefits and Compensation Benefits and Compensation listed vary based on the location of your employment and the nature of your employment with SailPoint.
As a part of the total compensation package, this role may be eligible for the SailPoint Corporate Bonus Plan or a role‑specific commission, along with potential eligibility for equity participation. SailPoint maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect SailPoint’s differing products, industries, and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. We estimate the base salary, for US‑based employees, will be in this range from (min‑mid‑max, USD):
$127,800 - $182,500 - $237,300
Base salaries for employees based in other locations are competitive for the employee’s home location.
Benefits Overview
1. Health and wellness coverage: Medical, dental, and vision insurance
2. Disability coverage: Short‑term and long‑term disability
3. Life protection: Life insurance and Accidental Death & Dismemberment (AD&D)
4. Additional life coverage options: Supplemental life insurance for employees, spouses, and children
5. Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account
6. Financial security: 401(k) Savings and Investment Plan with company matching
7. Time off benefits: Flexible vacation policy
8. Holidays: 8 paid holidays annually
9. Sick leave
10. Parental support: Paid parental leave
11. Employee Assistance Program (EAP) and Care Counselors
12. Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options
13. Health Savings Account (HSA) with employer contribution
SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law.
Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact applicationassistance@sailpoint.com or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations. NOTE: Any unsolicited resumes sent by candidates or agencies to this email will not be considered for current openings at SailPoint.
#J-18808-Ljbffr
REMOTE Team:
Data Platform Level:
Staff
About the Role We are looking for a
Staff Data Engineer
with deep expertise in
streaming data architectures
to drive the evolution of our real-time data platform. This role is highly technical and hands‑on — ideal for someone who thrives on solving complex scaling challenges, architecting low‑latency systems, and leading teams to deliver high‑quality streaming data solutions that power analytics, machine learning, and core product features.
As a senior member of the data engineering team, you’ll shape the technical direction of our streaming ecosystem and help define best practices for how data flows through our organization.
Responsibilities
Architect and lead
the design and implementation of scalable, fault‑tolerant
streaming data pipelines
using platforms such as
Apache Kafka, Flink, Spark Structured Streaming, or Kinesis .
Evolve the real‑time data platform
to support new business use cases, ensuring low‑latency data delivery and high reliability.
Partner with
data scientists, product engineers, and platform teams
to design data models and streaming APIs that enable real‑time insights and decision‑making.
Drive
data quality, observability, and governance
across streaming systems, including schema management, lineage, and monitoring.
Optimize pipeline performance, reliability, and cost across multiple environments (cloud and on‑prem).
Lead
code reviews, architecture reviews, and technical mentoring
for other engineers.
Establish and champion
best practices
for streaming data engineering, deployment automation, and CI/CD for data systems.
Collaborate with platform teams to ensure data systems are
secure, compliant, and highly available .
Qualifications Required:
8+ years of experience in
data engineering , with at least 3+ years in
real‑time or streaming systems .
Deep expertise with
Kafka
(or equivalent message brokers), including schema registry, partitioning strategies, and consumer group management.
Hands‑on experience with
stream processing frameworks
(e.g., Apache Flink, Spark Structured Streaming, Kafka Streams).
Strong proficiency in
Python, Scala, or Java , and familiarity with data pipeline orchestration tools (Airflow, Dagster, etc.).
Solid understanding of
distributed systems, networking, and storage .
Experience with
cloud platforms
(AWS, GCP, or Azure) and managed streaming services (Kinesis, Pub/Sub, etc.).
Familiarity with
data modeling, lakehouse architectures, and batch + streaming integration .
Preferred:
Experience building
exactly‑once
or
idempotent
streaming pipelines.
Knowledge of
data governance, lineage, and observability tools
(e.g., Datadog, Prometheus, OpenLineage).
Prior experience leading a data platform or mentoring senior engineers.
Exposure to
machine learning feature pipelines
or
event‑driven microservices .
What You’ll Bring
A strong sense of ownership and curiosity for optimizing data flow in complex environments.
Ability to think strategically while delivering practical, scalable solutions.
Leadership in driving cross‑team collaboration and influencing architectural direction.
Passion for helping teams move from
batch‑oriented thinking
to
event‑driven design .
Why Join Us You’ll play a pivotal role in
building the next generation of our data platform , enabling real‑time insights that directly impact business outcomes. We invest in engineering excellence, autonomy, and continuous learning — and we’re looking for a Staff Data Engineer who shares that vision.
Benefits and Compensation Benefits and Compensation listed vary based on the location of your employment and the nature of your employment with SailPoint.
As a part of the total compensation package, this role may be eligible for the SailPoint Corporate Bonus Plan or a role‑specific commission, along with potential eligibility for equity participation. SailPoint maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect SailPoint’s differing products, industries, and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. We estimate the base salary, for US‑based employees, will be in this range from (min‑mid‑max, USD):
$127,800 - $182,500 - $237,300
Base salaries for employees based in other locations are competitive for the employee’s home location.
Benefits Overview
1. Health and wellness coverage: Medical, dental, and vision insurance
2. Disability coverage: Short‑term and long‑term disability
3. Life protection: Life insurance and Accidental Death & Dismemberment (AD&D)
4. Additional life coverage options: Supplemental life insurance for employees, spouses, and children
5. Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account
6. Financial security: 401(k) Savings and Investment Plan with company matching
7. Time off benefits: Flexible vacation policy
8. Holidays: 8 paid holidays annually
9. Sick leave
10. Parental support: Paid parental leave
11. Employee Assistance Program (EAP) and Care Counselors
12. Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options
13. Health Savings Account (HSA) with employer contribution
SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law.
Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact applicationassistance@sailpoint.com or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations. NOTE: Any unsolicited resumes sent by candidates or agencies to this email will not be considered for current openings at SailPoint.
#J-18808-Ljbffr