Pay
In line with similar jobs
$160K–$180K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
US - Remote
Live, first seen by us 46 days agoSalary 160,000 – 180,000 USD per year Don't meet every requirement? Apply anyway! We value diverse candidates and encourage applications, even if you don't perfectly match the job description. Studies have shown that some strong candidates may self-select out of the interview process prematurely, at Smarsh we encourage an inclusive, high-performing environment.Read the full posting
Employment type Full-Time
Employment type in the employer’s posting: Full-TimeFrom the employer’s posting
Guide engineers through complex database architecture and performance problems
Set the technical approach for scalable data solutions with Product, Engineering and SRE
Drive larger cross-functional projects from design through delivery
Review code and database changes for systemic risk and performance
Interpret database health data in Splunk, Datadog and Grafana to flag risk early
guiding engineers through complex or ambiguous technical problems where established principles don't fully apply
Set the technical approach for scalable data solutions, partnering with stakeholders across Product, Engineering, and Site Reliability to shape direction rather than simply implement it
Drive larger, cross-functional projects from design through delivery
Review code and database changes with an eye for systemic risk and performance
Interpret database health and performance data (Splunk, Datadog, Grafana) to proactively flag and address risk before it surfaces as an incident
7+ years of hands-on experience with Microsoft SQL Server in a production environment, with demonstrated impact as a subject-matter expert
Deep expertise in schema and data model design, including normalization, partitioning, and indexing strategy for both OLTP workloads
Demonstrated ability to diagnose and resolve production capacity and contention issues at this scale, including lock/latch contention, TempDB performance, and transaction management
Experience designing for horizontal as well as vertical scalability, anticipating data growth before it becomes a production risk
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
In line with similar jobs
$160K–$180K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 46
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From 10,736 similar postings that came down. Coming down is not always a hire.
3 open jobs
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As a Database Engineer on the Professional Archive team, you'll operate as a subject-matter expert for the data infrastructure that powers our platform – driving the architecture, scaling, and reliability decisions that keep high-velocity, compliance-critical systems performant and secure. You'll work with SQL Server environments spanning multi-terabyte data volumes, tables with billions of rows, and sustained throughput exceeding 100,000 transactions per second. You'll work independently through ambiguous and unfamiliar problems, set technical direction for real-time data pipelines and system performance, and act as a go-to resource for engineers across the wider organization. Your work will directly shape how Smarsh clients meet their compliance needs through scalable, dependable data and search capabilities.
- If you don't meet every qualification listed below, we still encourage you to apply. We value diverse experiences and perspectives. Progression to this level reflects demonstrated ability to perform as a subject-matter expert, not years of experience alone. - 7+ years of hands-on experience with Microsoft SQL Server in a production environment, with demonstrated impact as a subject-matter expert - Deep expertise in schema and data model design, including normalization, partitioning, and indexing strategy for both OLTP workloads
- Deep expertise in schema and data model design, including normalization, partitioning, and indexing strategy for both OLTP workloads - Advanced proficiency in performance tuning, including T-SQL and stored procedure optimization, execution plan analysis, and query tuning at scale - Proven, hands-on experience managing and troubleshooting SQL Server databases at terabyte scale, including tables with billions of rows, and sustained throughput exceeding 100k transactions per second
- Advanced proficiency in performance tuning, including T-SQL and stored procedure optimization, execution plan analysis, and query tuning at scale - Proven, hands-on experience managing and troubleshooting SQL Server databases at terabyte scale, including tables with billions of rows, and sustained throughput exceeding 100k transactions per second - Demonstrated ability to diagnose and resolve production capacity and contention issues at this scale, including lock/latch contention, TempDB performance, and transaction management
- Familiarity with NoSQL technologies (e.g., MongoDB, Cassandra, DynamoDB) is a plus - Experience with cloud database platforms (e.g., AWS RDS/Aurora, MongoDB Atlas) is a plus What do we offer?
- Track emerging technologies and make the call on which are worth adopting, guiding the team's direction - Interpret database health and performance data (Splunk, Datadog, Grafana) to proactively flag and address risk before it surfaces as an incident What will you bring?
- Experience designing for horizontal as well as vertical scalability, anticipating data growth before it becomes a production risk - Familiarity with NoSQL technologies (e.g., MongoDB, Cassandra, DynamoDB) is a plus - Experience with cloud database platforms (e.g., AWS RDS/Aurora, MongoDB Atlas) is a plus
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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.
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.
As a Database Engineer on the Professional Archive team, you'll operate as a subject-matter expert for the data infrastructure that powers our platform – driving the architecture, scaling, and reliability decisions that keep high-velocity, compliance-critical systems performant and secure. You'll work with SQL Server environments spanning multi-terabyte data volumes, tables with billions of rows, and sustained throughput exceeding 100,000 transactions per second.
You'll work independently through ambiguous and unfamiliar problems, set technical direction for real-time data pipelines and system performance, and act as a go-to resource for engineers across the wider organization. Your work will directly shape how Smarsh clients meet their compliance needs through scalable, dependable data and search capabilities.
You'll partner with leaders across Product Management, Engineering, and Site Reliability, weighing a range of inputs to resolve complex challenges and influence strategy beyond your immediate team. We're looking for someone who brings deep technical judgment, mentors others, and is motivated to make an impact through thoughtful, high-leverage engineering.
We're looking for a recognized subject-matter expert who operates independently, drives clarity through ambiguity, and raises the bar for those around them.
If you don't meet every qualification listed below, we still encourage you to apply. We value diverse experiences and perspectives. Progression to this level reflects demonstrated ability to perform as a subject-matter expert, not years of experience alone.
160,000 – 180,000 USD per year
Full-Time
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Salary 160,000 – 180,000 USD per year Don't meet every requirement? Apply anyway! We value diverse candidates and encourage applications, even if you don't perfectly match the job description. Studies have shown that some strong candidates may self-select out of the interview process prematurely, at Smarsh we encourage an inclusive, high-performing environment.
US - Remote
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.