Senior Software Engineer, Data Platform

Alkami Technology

. Participate in the entire data pipeline lifecycle, focusing on building data lakes, data warehouses and related processes .

Posted 9/28/2026full-timeRemote • United StatesSenior💰 $132,000 - $165,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering processes, including the development of data lakes, data warehouses, and analytics solutions. Proficient in AWS big data technologies and capable of mentoring junior developers while ensuring effective communication across technical and non-technical teams.

Highest-signal resume keywords

Data Pipeline DevelopmentAWS Big Data TechnologiesSQL ProficiencyDevOps PracticesData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData EngineeringPython ProgrammingETL PipelinesData ModelingCI/CD PipelinesInfrastructure as CodeRelational DatabasesNoSQL DatabasesTest Automation

Soft Skills

Analytical SkillsTime ManagementMentoringCommunication Skills

Tools & Technologies

AWS EMRAWS GlueAWS S3AWS EKSAWS LambdaAWS AthenaAWS RDSKafkaKinesisTerraform

Industry Keywords

FinTechB2B2C SaaSMPP Data WarehouseRedshiftGreenplum

Tech Stack

Tools & technologies

Amazon RedshiftAWSCassandraCloudDynamoDBETLGreenplumKafkaKubernetesMongoDBNoSQLPostgresPythonSQLTerraform

About the role

Key responsibilities & impact

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 design appropriate solutions
Monitor and troubleshoot performance, scalability, and security issues, making improvements as needed
Evaluate new technologies and tools that can improve system performance
Participate in data governance processes
Contribute to the design and documentation of the data lake platform
Develop and optimize test automation solutions for data and performance
Gather technical and design requirements
Communicate with technical and non-technical team members to ensure project alignment and execution
Participate in cross-functional initiatives promoting data-driven decision-making and continuous improvement
Participate in an on-call rotation

Requirements

What you’ll need

Typically requires a minimum of 5 years of related experience; or 3 years and an advanced degree
Bachelor’s degree in engineering, computer science, math, data engineering or another related field or equivalent work experience
Eligible to work in the US for full-time employment
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 and data modeling principles
Experience with DevOps, including CI/CD pipelines, containerized deployment/Kubernetes, and infrastructure-as-code/AWS Cloud Formation/Terraform
Proficient in SQL (SQL Server, Postgres) and Python
Strong experience with legacy data warehouse and ETL pipelines
Demonstrated ability to mentor junior team members
Excellent analytical and time management skills, with a proven ability to deliver value independently
Strong written and verbal communication skills, with demonstrated experience providing technical input to technical and non-technical stakeholders
Ability to participate in on-call rotation
Preferred: experience with multi-tenant, B2B2C SaaS offerings
Preferred: FinTech industry experience
Preferred: understanding of MPP Data Warehouse (Redshift, Greenplum)

Benefits

Comp & perks

Remote-first environment
Unlimited paid time off
401(k) with employer match
Equal employment opportunity and discrimination-free work environment