Senior Data Engineer

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Logo of Alkami Technology

Alkami Technology

501 - 1000 employees

Founded 2009

🏦 Banking

💳 Fintech

☁️ SaaS

💰 $300M Post-IPO Debt - Alkami Technology on 2025-03

Banking • Fintech • SaaS

Alkami Technology is a digital banking software company that provides a cloud-based Digital Sales & Service Platform for banks and credit unions. Its platform combines onboarding and account opening (via MANTL), digital banking, and data & marketing solutions to enable anticipatory, data-driven customer experiences, faster account origination, fraud protection, payment reporting, and personalized marketing. Alkami serves financial institutions (retail and business customers) and offers integrations, developer tools, and implementation support to drive deposit growth, reduce churn, and improve operational efficiency.

📋 Description

• Participate in the entire 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 effectively design appropriate solutions • Monitor and troubleshoot performance, scalability, and security issues, making improvements as needed • Participate in the evaluation of new technologies and tools that can improve performance of our system • Participate in data governance process • Contribute to the design and documentation of our data lake platform • Proficient in test automation solutions for data and ability to optimize performance • Gather technical and design requirements • Communicate effectively with technical and non-technical team members to ensure alignment and successful execution of projects. • Participate in cross-functional initiatives, promoting a culture of data-driven decision-making and continuous improvement • Participate in an on call rotation

🎯 Requirements

• Typically requires a minimum of 5 years of related experience; or 3 years and an advanced degree • Experience in the development of modern data architecture, analytics, data governance, AI/ML, or related areas • Experience with AWS big data technologies including EMR, Glue, S3, EKS, Lambda, Athena, RDS, MKS/Kafka/Kinesis • In-depth knowledge of the entire data engineering process (design, development, deployment) • Exposure with relational and NoSQL databases such as PostgresQL, Cassandra, DynamoDB, MongoDb etc and data modeling principles • Experience with DevOps, including CI/CD pipelines, containerized deployment/Kubernetes, and infrastructure-as-code • Proficient in SQL (SQL Server, Postgres) and Python • Teamwork skills with a problem-solving attitude and willing to take a variety of approaches • Demonstrated ability to mentor junior team members • Strong written and verbal communication skills, with demonstrated experience providing technical input to technical and non-technical stakeholders.

🏖️ Benefits

• remote-first environment • unlimited paid time off • 401(k) with employer match

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