Data and Analytics Architect - MS Fabric
Syslogic Inc
Brookfield, Wisconsin, United States (Remote) · 23d ago
Smarsh · posted Sep 2, 2026
Open to candidates in United States
$160k–$180k · Full-time · Senior
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SQL Server, Splunk, Datadog, Grafana, MongoDB, Cassandra, DynamoDB, AWS RDS, Aurora, MongoDB Atlas
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.
How will you contribute?:
What will you bring?: We're looking for a recognized subject-matter expert who operates independently, drives clarity through ambiguity, and raises the bar for those around them.
Preferred Qualifications:
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
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
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
What do we offer?:
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.
Smarsh is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Smarsh invites all qualified interested applicants to apply for career opportunities. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Including frequency of functions
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