Job Description
Attention: Kapitus is aware that individuals posing as recruiters may be communicating with job seekers about supposed positions with Kapitus. Kapitus has received reports that the content and method of communication can vary, but messages may contain requests for payment (e.g., fees for equipment or training) and/or for sensitive financial information. Kapitus will never ask a candidate for employment for payment or financial information during the initial application or interview process. All open positions are posted in location specific employment portals available at www.kapitus.com/careers All legitimate Kapitus job postings on employment sites will direct candidates to complete an application through these portals before completion of the hiring process. Candidates with additional questions or concerns regarding any recruiting communications or Kapitus’ recruiting process in general should email recruiting@kapitus.com We are seeking a highly skilled and experienced Data Architect to design, build, and optimize scalable data platforms and advanced analytics solutions. This role requires deep expertise in modern cloud data ecosystems, including Snowflake, dbt, Databricks, AWS, and Python, along with hands-on experience in machine learning infrastructure such as Feature Stores and Snowflake Cortex. You will play a key role in shaping the organization’s data strategy, enabling data-driven decision-making, and supporting advanced analytics and AI initiatives. What You Will Do Design and implement scalable, secure, and high-performance data architectures using Snowflake and Databricks Develop and manage ELT/ETL workflows using dbt, ensuring modular, testable, and well-documented transformations Develop and maintain cloud-native data pipelines on AWS (e.g., S3, Glue, Lambda, Redshift, EMR) Architect and optimize data models for analytics, reporting, and machine learning use cases Build and manage data ingestion, transformation, and orchestration workflows Leverage Python for data engineering, automation, and advanced data processing Implement and manage Feature Store solutions for ML lifecycle management Utilize Snowflake Cortex for AI/ML-powered data applications and advanced analytics Collaborate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions Establish data governance, data quality, and security best practices Optimize performance, cost, and scalability of data platforms Mentor and guide data engineers and other team members What We’re Looking For Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field 7+ years of experience in data architecture, data engineering, or related roles Strong expertise in Snowflake (data modeling, performance tuning, security) Strong hands-on experience with dbt, ETL/ELT frameworks and data pipeline orchestration Experience with AWS data services (S3, Glue, Lambda, IAM, Redshift, etc.) Advanced proficiency in Python for data processing and pipeline development Experience designing and implementing enterprise-scale data warehouses and data lake Experience with Snowflake Cortex and AI-driven data applications Hands-on experience with Databricks (Spark, Delta Lake, notebooks, workflows) Experience with Dagster (data orchestration and pipeline management) Hands-on experience with Feature Stores (e.g., Snowflake Feature Store or similar) Knowledge of machine learning workflows and MLOps practices Familiarity with streaming technologies (Kafka, Kinesis, etc.) Experience with data governance and compliance frameworks Certifications in AWS, Snowflake, or Databricks Key Skills Data Architecture & Modeling Cloud Data Platforms (AWS) Snowflake & Databricks Expertise Python & Spark Machine Learning Infrastructure (Feature Store, MLOps) Data Governance & Security Performance Optimization Strong problem-solving and communication skills Kapitus Total Rewards Package Includes Competitive Base Salary Range $117,800 to $189,000 of Kapitus is providing this as a good faith salary range to comply with applicable law. The applicant’s final salary will depend on a number of factors including the applicant’s geographic location, skills, and experience. Annual Incentive Compensation Eligibility – Up to 10% annu