Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Staff Database Engineer
USA · United States
Live, first seen by us 80 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
Remote — work setting source
Location type: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Cloud & Infrastructure — team source
Department: Cloud & Infrastructure
From the employer’s posting
What you’ll work on
Full postingImplement and operate DynamoDB Global Tables cross-region replication
Build observability for replication health, lag, and alarms in Datadog and CloudWatch
Author and execute failover and failback runbooks, and run AWS FIS game-days
Build CDC pipelines for monolith-to-microservices data extraction and own cutovers
Codify infrastructure in Terraform or CDK
From the employer’s posting
Implement and operate cross-region replication using Amazon DynamoDB Global Tables
Build the observability layer for replication health: lag metrics, consistency checks, alarm thresholds, and runbook automation.
Author and execute failover and failback runbooks. Run game-days using AWS Fault Injection Service.
build CDC pipelines (DMS, DynamoDB Streams, Kafka Connect, Debezium), validate data integrity, and own the cutover sequence for individual extractions
Codify everything in Terraform (or CDK).
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 16, 202680 days ago
- Recorded sightings
- 38
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 80
Up longer than most. Similar jobs usually come down between day 6 and day 54.
From 10,764 similar postings that came down. Coming down is not always a hire.
Solvd is hiring
8 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- AWS
- Datadog
- DynamoDB
- Kafka
- MySQL
- Redis
- Terraform
Where the posting names them
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. Solvd is migrating a Tier-1 US payments platform from a single AWS region to a multi-region architecture. We're hiring multiple Database Engineers to implement the DynamoDB replication, failover, and operational tooling for this program. You'll work under the Principal Database Architect and partner with the client's data and SRE teams.
- Build the observability layer for replication health: lag metrics, consistency checks, alarm thresholds, and runbook automation. Datadog is the primary observability stack; CloudWatch is the baseline. - Author and execute failover and failback runbooks. Run game-days using AWS Fault Injection Service. Measure and report against RTO and RPO targets. - Implement KMS cross-account replication, IAM service principals for replication roles, and the secrets and parameter strategy for region-local dependencies.
What you'll bring (required) - 8+ years in production database engineering on AWS, with hands-on responsibility for at least one of: payments, banking, brokerage, or comparable financial-services workloads. - Deep production experience with DynamoDB and at least two of: Aurora MySQL, Cassandra, ElastiCache (Redis or Valkey), DocumentDB, Neptune. Working knowledge of at least two more.
- Cassandra multi-DC operations experience at scale (nodetool workflows, repair strategy, tombstone management, cross-region anti-entropy). - AWS MSK or Kafka MirrorMaker 2 experience for cross-region event replication. - Experience with Datadog Database Monitoring and custom CloudWatch metrics.
- Experience with Datadog Database Monitoring and custom CloudWatch metrics. - AWS Database Specialty or Solutions Architect Associate / Professional certifications. When you join Solvd, you'll…
- Codify everything in Terraform (or CDK). - Build the observability layer for replication health: lag metrics, consistency checks, alarm thresholds, and runbook automation. Datadog is the primary observability stack; CloudWatch is the baseline. - Author and execute failover and failback runbooks. Run game-days using AWS Fault Injection Service. Measure and report against RTO and RPO targets.
- AWS MSK or Kafka MirrorMaker 2 experience for cross-region event replication. - Experience with Datadog Database Monitoring and custom CloudWatch metrics. - AWS Database Specialty or Solutions Architect Associate / Professional certifications.
Solvd is migrating a Tier-1 US payments platform from a single AWS region to a multi-region architecture. We're hiring multiple Database Engineers to implement the DynamoDB replication, failover, and operational tooling for this program. You'll work under the Principal Database Architect and partner with the client's data and SRE teams. What you'll do
What you'll do - Implement and operate cross-region replication using Amazon DynamoDB Global Tables, ensuring reliable multi-region data replication, high availability, consistency, and disaster recovery. - Codify everything in Terraform (or CDK).
- Implement KMS cross-account replication, IAM service principals for replication roles, and the secrets and parameter strategy for region-local dependencies. - Support data extraction from the monolith into microservices: build CDC pipelines (DMS, DynamoDB Streams, Kafka Connect, Debezium), validate data integrity, and own the cutover sequence for individual extractions. - Pair with application engineers on connection-string abstraction, retry and idempotency patterns, and graceful degradation during region failover.
- 8+ years in production database engineering on AWS, with hands-on responsibility for at least one of: payments, banking, brokerage, or comparable financial-services workloads. - Deep production experience with DynamoDB and at least two of: Aurora MySQL, Cassandra, ElastiCache (Redis or Valkey), DocumentDB, Neptune. Working knowledge of at least two more. - Practical experience with cross-region replication in production using DynamoDB Global Tables: you've configured and operated multi-region DynamoDB deployments and handled failure scenarios such as replication conflicts, regional outages, replication delays, and consistency or version-skew issues.
- Deep production experience with DynamoDB and at least two of: Aurora MySQL, Cassandra, ElastiCache (Redis or Valkey), DocumentDB, Neptune. Working knowledge of at least two more. - Practical experience with cross-region replication in production using DynamoDB Global Tables: you've configured and operated multi-region DynamoDB deployments and handled failure scenarios such as replication conflicts, regional outages, replication delays, and consistency or version-skew issues. - Strong Terraform (or CDK). You can build a multi-region module from scratch and explain the trade-offs.
- Strong Terraform (or CDK). You can build a multi-region module from scratch and explain the trade-offs. - Comfort with CDC tooling (DMS, DDB Streams, Kafka Connect, or Debezium) and the operational gotchas (schema drift, ordering guarantees, replay). - Linux, networking fundamentals (VPC, Transit Gateway, peering, DNS), and IAM / KMS proficiency.
- Implement and operate cross-region replication using Amazon DynamoDB Global Tables, ensuring reliable multi-region data replication, high availability, consistency, and disaster recovery. - Codify everything in Terraform (or CDK). - Build the observability layer for replication health: lag metrics, consistency checks, alarm thresholds, and runbook automation. Datadog is the primary observability stack; CloudWatch is the baseline.
- Practical experience with cross-region replication in production using DynamoDB Global Tables: you've configured and operated multi-region DynamoDB deployments and handled failure scenarios such as replication conflicts, regional outages, replication delays, and consistency or version-skew issues. - Strong Terraform (or CDK). You can build a multi-region module from scratch and explain the trade-offs. - Comfort with CDC tooling (DMS, DDB Streams, Kafka Connect, or Debezium) and the operational gotchas (schema drift, ordering guarantees, replay).
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About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
Solvd is migrating a Tier-1 US payments platform from a single AWS region to a multi-region architecture.
We're hiring multiple Database Engineers to implement the DynamoDB replication, failover, and operational tooling for this program. You'll work under the Principal Database Architect and partner with the client's data and SRE teams.
What you'll do
Implement and operate cross-region replication using Amazon DynamoDB Global Tables, ensuring reliable multi-region data replication, high availability, consistency, and disaster recovery.
Codify everything in Terraform (or CDK).
Build the observability layer for replication health: lag metrics, consistency checks, alarm thresholds, and runbook automation. Datadog is the primary observability stack; CloudWatch is the baseline.
Author and execute failover and failback runbooks. Run game-days using AWS Fault Injection Service. Measure and report against RTO and RPO targets.
Implement KMS cross-account replication, IAM service principals for replication roles, and the secrets and parameter strategy for region-local dependencies.
Support data extraction from the monolith into microservices: build CDC pipelines (DMS, DynamoDB Streams, Kafka Connect, Debezium), validate data integrity, and own the cutover sequence for individual extractions.
Pair with application engineers on connection-string abstraction, retry and idempotency patterns, and graceful degradation during region failover.
Write design docs and runbooks the client team can take over after the engagement.
What you'll bring (required)
8+ years in production database engineering on AWS, with hands-on responsibility for at least one of: payments, banking, brokerage, or comparable financial-services workloads.
Deep production experience with DynamoDB and at least two of: Aurora MySQL, Cassandra, ElastiCache (Redis or Valkey), DocumentDB, Neptune. Working knowledge of at least two more.
Practical experience with cross-region replication in production using DynamoDB Global Tables: you've configured and operated multi-region DynamoDB deployments and handled failure scenarios such as replication conflicts, regional outages, replication delays, and consistency or version-skew issues.
Strong Terraform (or CDK). You can build a multi-region module from scratch and explain the trade-offs.
Comfort with CDC tooling (DMS, DDB Streams, Kafka Connect, or Debezium) and the operational gotchas (schema drift, ordering guarantees, replay).
Linux, networking fundamentals (VPC, Transit Gateway, peering, DNS), and IAM / KMS proficiency.
Solid written communication and ability to operate in a regulated client environment.
Nice to have
Cassandra multi-DC operations experience at scale (nodetool workflows, repair strategy, tombstone management, cross-region anti-entropy).
AWS MSK or Kafka MirrorMaker 2 experience for cross-region event replication.
Experience with Datadog Database Monitoring and custom CloudWatch metrics.
AWS Database Specialty or Solutions Architect Associate / Professional certifications.
When you join Solvd, you'll…
Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
Be part of a global team with equal opportunities for collaboration across continents and cultures.
Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
Solvd is an equal opportunity employer.
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