Blankfactor
What we do
At Blankfactor, we are dedicated to engineering impact. We are passionate about creating value by building best-in-class tech solutions for companies looking to transform, innovate, and scale. In every project, we aim to deliver work that moves the needle and drives measurable outcomes for our partners and clients. Our full-stack development, data engineering, digital product, and enterprise AI solutions cater to a range of industries, including payments, banking, capital markets, and life sciences.
We are headquartered in Miami, Florida, have offices in Bulgaria, Colombia, and Romania, and are rapidly expanding our global footprint. Our culture of engineering excellence, technical expertise, and care for both our clients and our talented workforce has made us one of the fastest-growing companies in America.
We only hire the best and brightest. If you have talent and ambition, join us and be part of an environment that fosters innovation, collaboration, and growth. Welcome to Blankfactor!
What to expect in this role
We are seeking a
Data Architect
who combines
strategic vision, technical expertise, and hands-on coding skills
to lead our data engineering initiatives. This role requires someone who can
design and drive enterprise-level data architectures ,
lead high-performing teams , and
actively contribute to development and code reviews
to ensure scalability, security, and performance.
As a key leader in the organization, you will define and implement
data strategies, frameworks, and architectures
that align with business goals while maintaining a hands-on approach to technical execution.
Strategic Data Leadership Define and drive the company's
data architecture strategy , ensuring scalability, security, and efficiency. Provide
technical leadership
in designing
enterprise data platforms , including
cloud-based solutions (AWS, Azure, or GCP) . Partner with
C-level executives, business units, and engineering teams
to align data initiatives with business goals. Hands-On Engineering & Development
Write, review, and optimize
high-performance data pipelines
(ETL/ELT) in
Python, Scala, Java, or SQL . Oversee
data modeling, warehouse/lakehouse design, and real-time streaming architectures . Actively conduct
code reviews, performance tuning, and architectural guidance
for the engineering team. Team Leadership & Mentorship
Lead and mentor
data engineers, architects, and developers , fostering a high-performance, collaborative culture. Establish and enforce
best practices for data governance, security, and compliance
(GDPR, CCPA, HIPAA, etc.). Drive the adoption of
modern data technologies
and methodologies, ensuring continuous innovation. Architecture & Technical Execution
Architect
scalable, fault-tolerant data platforms
on
AWS, Azure, or GCP . Design
data integration patterns, API-driven architectures, and streaming solutions
(Kafka, Spark, Flink). Optimize
data lake, warehouse, and lakehouse architectures
using
Snowflake, Databricks, BigQuery, or Redshift . Implement
metadata-driven data governance frameworks
and support
data mesh or decentralized data architectures . Requirements and technical skills
8+ years of experience
in
data architecture, data engineering, or software engineering Strong
hands-on coding
ability in
Python, Java, Scala, or SQL . Deep expertise in
big data, cloud data platforms, and distributed computing . Experience leading
high-performing engineering teams , driving technical strategy, and mentoring talent. Proficiency in
ETL/ELT, data pipelines, and orchestration frameworks
(Apache Airflow, dbt, Prefect). Strong knowledge of
data governance, compliance, and security best practices . Experience working in
highly regulated industries (finance, healthcare, insurance, etc.)
is a plus. Preferred Qualifications
Expertise in
ML/AI-driven data pipelines . Experience implementing
Data Mesh or Data Fabric architectures . Prior experience in
multi-cloud environments
(AWS, Azure, GCP). Strong background in
CI/CD, DevOps, and Infrastructure-as-Code (Terraform, Kubernetes, Docker) . What you can expect as a member of the Blankfactor team
Fintech Expertise: Access to expertise in machine learning, data science, big data, and AI, providing opportunities for continuous learning and exposure to cutting-edge technologies. Technology exams/Certifications covered by the company World-class workspace for unleashing creativity Fresh fruits and snacks in the office Diverse client portfolio Cutting-edge high-tech stack Monthly on-site gatherings Annual festivities: Participate in team-building activities, family BBQs, and end-of-year celebrations Participation in Sporting Challenges and Marathons Voluntary social events
We believe that diversity of experience and background contributes to more robust ideas and a stronger team. All qualified applicants will receive consideration for employment without regard to religion, race, sex, sexual orientation, gender identity, national origin, or disability.
At Blankfactor, we are dedicated to engineering impact. We are passionate about creating value by building best-in-class tech solutions for companies looking to transform, innovate, and scale. In every project, we aim to deliver work that moves the needle and drives measurable outcomes for our partners and clients. Our full-stack development, data engineering, digital product, and enterprise AI solutions cater to a range of industries, including payments, banking, capital markets, and life sciences.
We are headquartered in Miami, Florida, have offices in Bulgaria, Colombia, and Romania, and are rapidly expanding our global footprint. Our culture of engineering excellence, technical expertise, and care for both our clients and our talented workforce has made us one of the fastest-growing companies in America.
We only hire the best and brightest. If you have talent and ambition, join us and be part of an environment that fosters innovation, collaboration, and growth. Welcome to Blankfactor!
What to expect in this role
We are seeking a
Data Architect
who combines
strategic vision, technical expertise, and hands-on coding skills
to lead our data engineering initiatives. This role requires someone who can
design and drive enterprise-level data architectures ,
lead high-performing teams , and
actively contribute to development and code reviews
to ensure scalability, security, and performance.
As a key leader in the organization, you will define and implement
data strategies, frameworks, and architectures
that align with business goals while maintaining a hands-on approach to technical execution.
Strategic Data Leadership Define and drive the company's
data architecture strategy , ensuring scalability, security, and efficiency. Provide
technical leadership
in designing
enterprise data platforms , including
cloud-based solutions (AWS, Azure, or GCP) . Partner with
C-level executives, business units, and engineering teams
to align data initiatives with business goals. Hands-On Engineering & Development
Write, review, and optimize
high-performance data pipelines
(ETL/ELT) in
Python, Scala, Java, or SQL . Oversee
data modeling, warehouse/lakehouse design, and real-time streaming architectures . Actively conduct
code reviews, performance tuning, and architectural guidance
for the engineering team. Team Leadership & Mentorship
Lead and mentor
data engineers, architects, and developers , fostering a high-performance, collaborative culture. Establish and enforce
best practices for data governance, security, and compliance
(GDPR, CCPA, HIPAA, etc.). Drive the adoption of
modern data technologies
and methodologies, ensuring continuous innovation. Architecture & Technical Execution
Architect
scalable, fault-tolerant data platforms
on
AWS, Azure, or GCP . Design
data integration patterns, API-driven architectures, and streaming solutions
(Kafka, Spark, Flink). Optimize
data lake, warehouse, and lakehouse architectures
using
Snowflake, Databricks, BigQuery, or Redshift . Implement
metadata-driven data governance frameworks
and support
data mesh or decentralized data architectures . Requirements and technical skills
8+ years of experience
in
data architecture, data engineering, or software engineering Strong
hands-on coding
ability in
Python, Java, Scala, or SQL . Deep expertise in
big data, cloud data platforms, and distributed computing . Experience leading
high-performing engineering teams , driving technical strategy, and mentoring talent. Proficiency in
ETL/ELT, data pipelines, and orchestration frameworks
(Apache Airflow, dbt, Prefect). Strong knowledge of
data governance, compliance, and security best practices . Experience working in
highly regulated industries (finance, healthcare, insurance, etc.)
is a plus. Preferred Qualifications
Expertise in
ML/AI-driven data pipelines . Experience implementing
Data Mesh or Data Fabric architectures . Prior experience in
multi-cloud environments
(AWS, Azure, GCP). Strong background in
CI/CD, DevOps, and Infrastructure-as-Code (Terraform, Kubernetes, Docker) . What you can expect as a member of the Blankfactor team
Fintech Expertise: Access to expertise in machine learning, data science, big data, and AI, providing opportunities for continuous learning and exposure to cutting-edge technologies. Technology exams/Certifications covered by the company World-class workspace for unleashing creativity Fresh fruits and snacks in the office Diverse client portfolio Cutting-edge high-tech stack Monthly on-site gatherings Annual festivities: Participate in team-building activities, family BBQs, and end-of-year celebrations Participation in Sporting Challenges and Marathons Voluntary social events
We believe that diversity of experience and background contributes to more robust ideas and a stronger team. All qualified applicants will receive consideration for employment without regard to religion, race, sex, sexual orientation, gender identity, national origin, or disability.