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Alkami Technology

Cloud-based digital banking platform for banks

Sr. Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • Typically requires at least 5 years of related experience, or 3 years of experience with an advanced degree.
  • A bachelor's degree in engineering, computer science, math, data engineering, or another related field, or equivalent work experience.
  • Experience developing modern data architecture, analytics, data governance, artificial intelligence/machine learning, or related areas.
  • Experience with AWS big data technologies including EMR, Glue, S3, EKS, Lambda, Athena, RDS, and MKS/Kafka/Kinesis.
  • In-depth knowledge of the data engineering process, including design, development, and deployment.
  • Experience with relational and NoSQL databases such as PostgreSQL, Cassandra, DynamoDB, and MongoDB, and data modeling principles.
  • Experience with DevOps, including CI/CD pipelines, containerized deployment/Kubernetes, and infrastructure as code.
  • Proficiency in SQL (SQL Server and PostgreSQL) and Python.
  • Experience with legacy data warehouses and ETL pipelines.
  • Ability to identify process-improvement and solution-efficiency opportunities.
  • Ability to mentor junior team members.
  • Analytical and time-management abilities, including independently delivering value.
  • Written and verbal communication skills, including providing technical input to technical and non-technical stakeholders.
  • Ability to lift 5 to 10 pounds unassisted; stand, sit, stoop, walk, stretch, reach, and use a full range of body motions; and perform manual dexterity tasks as required for specific equipment.
  • Must be eligible to work in the United States; employment sponsorship is unavailable.

Responsibilities

  • Participate in the full data pipeline lifecycle, focusing on building data lakes, data warehouses, and related processes.
  • Lead code and design reviews with junior and peer developers.
  • Write clean code to develop data pipelines and necessary infrastructure as code.
  • Collaborate with cross-functional teams to understand requirements and design appropriate solutions.
  • Monitor and troubleshoot performance, scalability, and security issues, making improvements as needed.
  • Participate in evaluating technologies and tools that can improve system performance.
  • Participate in the data governance process.
  • Contribute to the design and documentation of the data lake platform.
  • Use test automation solutions for data and optimize performance.
  • Gather technical and design requirements.
  • Communicate with technical and non-technical team members to align work and execute projects successfully.
  • Participate in cross-functional initiatives that promote data-driven decision-making and continuous improvement.
  • Participate in an on-call rotation.

Desired Qualifications

  • Experience with multi-tenant, B2B2C SaaS offerings.
  • FinTech industry experience.
  • Experience with AWS CloudFormation or Terraform.
  • Understanding of MPP data warehouses such as Redshift and Greenplum.

About the Company

Alkami Technology

Cloud-based digital banking platform for banks

Alkami Technology provides cloud-based digital banking software for banks and credit unions. Its platform covers online and mobile banking, bill payment, and personal finance tools, enabling financial institutions to offer modern digital services to customers. The product works as a subscription-based platform hosted in the cloud, delivering retail and business banking capabilities and data-driven insights to help banks improve customer engagement and performance. Alkami differentiates itself through a strong focus on data-driven client success, ethical conduct, and a supportive workplace, aiming to help financial institutions attract and retain customers. The company's goal is to enable financial institutions to deliver seamless digital experiences, improve customer satisfaction, and continuously innovate through recurring revenue.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Plano, TX
Founded
2009

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