Kapitus

Kapitus, a leading small business financing company, offers fast, flexible term loans and lines of credit from $5k to $5 million. With a focus on simplifying financing for small businesses, Kapitus provides multiple loan options to support business gro...

Diversified Financial Services

Financials

251-1K (420)

Founded 2006

$490M raised

23 open positions

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Snowflake Architect - Job ID 831

2 weeks, 1 day ago

United States

Full-time

Senior

AI Engineer

Data Science and Analytics

Apache Spark AWS Dagster Databricks dbt Kafka Machine Learning MLOps Python Snowflake

Apply Now

Kapitus

Diversified Financial Services

251-1K

Founded 2006

$490M raised

View All Jobs 23

Description

Design and implement scalable, secure, high-performance data architectures using Snowflake and Databricks.
Develop and manage ELT/ETL workflows with dbt, including modular, testable, and documented transformations.
Build and maintain cloud-native data pipelines on AWS services such as S3, Glue, Lambda, Redshift, and EMR.
Architect and optimize data models for analytics, reporting, and machine learning use cases.
Develop data ingestion, transformation, and orchestration workflows.
Use Python for data engineering, automation, and advanced data processing.
Implement and manage Feature Store solutions for ML lifecycle management.
Use Snowflake Cortex to support 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, security, and performance best practices across data platforms.
Mentor and guide data engineers and other team members.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
7+ years of experience in data architecture, data engineering, or a related role.
Strong expertise in Snowflake, including data modeling, performance tuning, and security.
Strong hands-on experience with dbt, ETL/ELT frameworks, and data pipeline orchestration.
Experience with AWS data services such as S3, Glue, Lambda, IAM, and Redshift.
Advanced proficiency in Python for data processing and pipeline development.
Experience designing and implementing enterprise-scale data warehouses and data lakes.
Experience with Snowflake Cortex and AI-driven data applications.
Hands-on experience with Databricks, including Spark, Delta Lake, notebooks, and workflows.
Experience with Dagster for data orchestration and pipeline management.
Hands-on experience with Feature Stores such as Snowflake Feature Store or similar tools.
Knowledge of machine learning workflows and MLOps practices.
Familiarity with streaming technologies such as Kafka or Kinesis.
Experience with data governance and compliance frameworks.
Certifications in AWS, Snowflake, or Databricks are preferred.
Strong problem-solving and communication skills.

Benefits

Competitive base salary range of $117,800 to $189,000.
Comprehensive medical, dental, and employer-paid vision insurance through UnitedHealthcare.
Flexible Spending Account for qualified medical, dental, vision, pharmacy, or dependent care expenses.
Lifestyle Spending Account for physical, mental, and financial well-being expenses.
Company-paid short-term and long-term disability insurance, plus vision insurance.
Voluntary supplemental life, disability, accident, and hospitalization insurance options.
Paid maternity and parental leave.
Pre-tax commuter and parking benefits.
LifeBalance membership with discounts on outdoor activities, arts, health, fitness, and stress management tools.
Plum Benefits discount program for shows, travel, car rentals, and more.
Up to $5,000 annually in tuition reimbursement, plus access to conferences and career development events.
Travel reimbursement for work-related travel.
Paid time off and sick time.
401(k) plan through Fidelity with a 25% company match up to 6% of annual salary.
Consideration for qualified remote candidates in eligible states.

Interested in this position?

Apply directly on the company website

Apply Now

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