Senior Business Intelligence Engineer Jobs
Senior Business Intelligence Engineer jobs are open across technology, finance, healthcare, and retail, from mid-level to staff and principal, with specializations in data modeling, dashboard architecture, and pipeline engineering. Find a role that fits from the openings below and apply directly.
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LOCATION: This position is based in Nashville, Tennessee. Candidates must be able to work on-site according to the team's schedule.
ROLE AND RESPONSIBILITIES
Oversees Data Center Operations across multiple data centers, managing and integrating team performance, operations metrics, and capacity analysis into the broader business line strategy. Directs multiple teams in supporting escalated technical issues, crisis management, and root cause analysis, while standardizing processes and maintaining an accurate knowledge base. Leads new region builds and expansion activities, acting as a senior liaison with project and engineering teams to manage timelines, capacity, and ensure adherence to world-class standards. Guides teams responsible for installations, repairs, inventory, and logistics, enforces standards for component replacements and upgrades, recommends significant purchases, and implements advanced maintenance strategies to optimize data center efficiency and stability.
Responsibilities
- Lead the PMO operations function for a portfolio of operational and strategic programs supporting global data center operations.
- Define program scope, success criteria, milestones, deliverables, and governance models in partnership with cross-functional stakeholders.
- Build and manage detailed program plans, schedules, resource models, and reporting cadences across multiple concurrent initiatives.
- Establish and maintain operational governance, standards, and execution frameworks to improve consistency, quality, and accountability.
- Coordinate activities across operations, engineering, facilities, construction, product, and business stakeholders to ensure effective execution and clear ownership.
- Identify and manage dependencies, operational risks, and program issues; develop mitigation plans and drive closure.
- Serve as the primary point of contact for program health, executive updates, escalations, and stakeholder communications.
- Lead program reviews, readiness reviews, and business rhythm mechanisms to ensure alignment with operational objectives, compliance requirements, and organizational priorities.
- Drive continuous improvement through data, lessons learned, KPI reporting, and process optimization.
- Oversee program budgets, resource allocation, and prioritization to ensure efficient use of people, tools, and funding.
- Track and report performance metrics, KPIs, and portfolio health indicators to leadership.
- Mentor and develop project/program managers and support the growth of a high-performing PMO team.
- Support tool strategy and implementation efforts, including evaluation, process discovery, integration planning, and deployment of operational platforms such as CMMS and workflow tools.
- Lead organizational scaling efforts by establishing team structure, onboarding approaches, role clarity, and operating norms for rapidly growing teams.
BASIC QUALIFICATIONS
- 8+ years of experience in program management, PMO leadership, operations, or mission-critical infrastructure environments.
- Experience in global data center operations, facility operations, startup and readiness, maintenance, or technical operations.
- Proven success establishing governance frameworks, operating standards, and process controls across large-scale organizations.
- Strong experience leading cross-functional programs involving engineering, operations, construction, product, and executive stakeholders.
- Demonstrated ability to manage complex dependencies, compliance requirements, risks, and multi-team execution.
- Experience leading tool or systems initiatives, including process discovery, capability review, integration assessment, and final product selection.
- Strong analytical, communication, and stakeholder-management skills, with the ability to translate operational complexity into clear executive updates.
- People leadership experience, including building, mentoring, and scaling teams.
Senior Business Intelligence Engineer Jobs by Experience Level
Top Cities Hiring Senior Business Intelligence Engineers
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Find JobsSenior Business Intelligence Engineer Job Market
Who's Hiring
- Amazon61

- Cornerstone Research9

- Apple6

- Google5

- Medpace5

Top Industries Hiring
- Technology & Software66
- Retail24
- Consulting & Professional Services22
- Healthcare & Medical Services21
- E-Commerce & Online Marketplaces20
What Employers Look For
The qualifications that appear most often in senior business intelligence engineer jobs.
- Five or more years of experience in business intelligence, data analytics, or data engineering roles
- Advanced SQL proficiency including window functions, CTEs, and query optimization
- Hands-on experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift
- Proficiency with at least one BI visualization tool such as Tableau, Looker, or Power BI
- Experience with data modeling methodologies and tools including dbt or similar transformation frameworks
- Bachelor's degree in computer science, information systems, statistics, or a related quantitative field
Tips for Your Senior Business Intelligence Engineer Job Search
Tailor your resume to BI stack specifics
Generic data engineering resumes lose out. List the exact tools each employer uses, whether that's dbt, Looker, Snowflake, or Power BI, and quantify the scale of the data you worked with, such as row counts, refresh cadences, or dashboard user counts.
Highlight cross-functional stakeholder work
Senior BI roles require translating ambiguous business questions into structured data products. Show concrete examples where you worked directly with finance, marketing, or product teams to define KPIs, not just build what you were handed.
Apply early to roles that fit
Migrate Mate lists senior business intelligence engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter openings by your modeling approach
Some teams use Kimball dimensional modeling, others prefer OBT or activity schema patterns. Read job descriptions for clues about modeling philosophy before applying, because misalignment on this point surfaces in technical screens and causes real friction.
Prepare a take-home or live SQL case study
Most senior BI interviews include a SQL or data modeling exercise. Practice writing window functions, CTEs, and incremental model logic under time pressure, and be ready to explain your query choices out loud rather than just producing correct output.
Negotiate scope and tooling before accepting
Before signing, ask whether the team has established semantic layer ownership, data governance processes, and tool standardization. Joining a team mid-migration between tools or without clear BI ownership adds months of uncompensated technical debt work.
Senior Business Intelligence Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most senior business intelligence engineers?
The companies hiring the most senior business intelligence engineers right now include Amazon, Cornerstone Research, and Apple, with the largest share of openings in Texas, California, and Washington, based on current listings on Migrate Mate as of August 2026. Demand is concentrated at companies managing large-scale transactional or customer data across technology, financial services, and healthcare verticals.
How many senior business intelligence engineer jobs are remote?
About 62% of senior business intelligence engineer openings are fully remote or hybrid as of August 2026, reflecting strong demand for distributed data teams across the industry. Roles focused on cloud-native BI stack ownership and self-serve analytics platform development tend to offer the highest proportion of fully remote arrangements.
How do you become a senior business intelligence engineer?
Most senior business intelligence engineers start as analysts or junior data engineers, then build depth in SQL, cloud warehousing, and a major BI visualization tool over several years. Moving up requires owning end-to-end data products, not just fulfilling requests, and demonstrating that you can define data models and govern metric definitions independently. Earning a dbt certification or a cloud platform credential helps signal technical seniority to hiring teams.
Can you get hired as a senior business intelligence engineer without direct senior-level experience?
You can make a case for a senior role without an explicit senior title if you can show that you owned critical data infrastructure or led a BI migration project rather than contributing to one. Hiring managers weigh the complexity and business impact of your past work over job titles. A strong take-home exercise demonstrating advanced modeling and documentation practices can close gaps that a resume alone cannot.
What does the senior business intelligence engineer interview process look like?
Most processes run three to four rounds. An initial recruiter screen is followed by a technical phone interview covering SQL and data modeling concepts, then a take-home or live coding exercise involving schema design or dashboard architecture. Final rounds typically include a stakeholder or cross-functional panel where you walk through past projects and explain how you handled ambiguous or conflicting data requirements from business partners.
Where can I find and apply to senior business intelligence engineer jobs?
You can find and apply to senior business intelligence engineer jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your stack and experience level, then apply directly to each one that fits.
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