Data Discipline Lead/Data Architect

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 VP-Level 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

• 10+ years of experience in data architecture, data engineering, or software engineering, with at least 3+ years in a VP or leadership role.
• 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.