Sr. Specialist Solutions Engineer - Data Warehousing (Financial Services)
Location
United States
Posted
88 days ago
Salary
$152K - $209K / year
Seniority
Senior
No structured requirement data.
Job Description
Sr. Specialist Solutions Engineer - Data Warehousing (Financial Services)
Databricks
FEQ227R150 Mission As a Sr. Specialist Solutions Engineer (SSA) - Data Warehousing , you will guide customers in their cloud data warehousing transformation with Databricks that span a large variety of use cases. You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with large scale data warehousing technologies and lake house architecture. SSAs help customers through evaluations and successful production planning for their business intelligence workloads while aligning their technical roadmap for the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in the data warehousing specialty - including performance tuning, data modeling, winning competitive evaluations, architecture design, and production migration planning. The impact you will have: - Provide technical leadership to guide strategic customers to successful cloud transformations on large scale data warehousing workloads - ranging from evaluation to architecture design to production deployment. - Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization. - Become a technical expert in an area such as competitive data warehousing evaluations or helping set up successful workload migrations. - Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing and performance, and tuning workloads for production. - Provide tutorials and training to improve community adoption (including hackathons and conference presentations) - Contribute to the Databricks Community. What we look for: - 5+ years experience in a technical role with expertise in data warehousing - such as query tuning, performance tuning, troubleshooting, data governance, debugging MPP data warehouses or other big data solutions, or migration workloads from EDW systems. - Experience with design and implementation of data warehousing technologies including relational databases, SQL, data analytics, NoSQL, MPP, OLTP, and OLAP. - Deep Specialty Expertise in at least one of the following areas: - Experience scaling large analytical data workloads in the cloud that are performant and cost-effective. - Maintained, extended, or migrated a production data warehouse system to evolve with complex needs, including data modeling, data governance needs, and integration with business intelligence tools. - Experience successfully migrating on-premise EDW workloads to the public cloud. - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience. - Production programming experience in SQL and Python, Scala, or Java. - Experience with the AWS, Azure, or GCP clouds is highly desirable. - 3 years professional experience with data warehousing and big data technologies (Ex: SQL, Redshift, SAP, Synapse, EMR, OLAP & OLTP workloads) - 3 years customer-facing experience in a pre-sales or post-sales role - Can meet expectations for technical training and role-specific outcomes within 6 months of hire - This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $152,300—$209,450 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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We wear lots of hats here at Qualtrics! - Undergraduate degree (E.g. Marketing, Business, Human Resources Management, Organizational Behavior, Organizational Leadership, Computer Science, Information Systems, Mathematics, Statistics, or other quantitative field. Strong academic performance.) - Legally authorized to work in United States - Travel required (Up to 25%) - Preferred Qualifications - Experience in HTML, CSS, JavaScript, SQL a plus - Experience and familiarity with contact centers and voice of the customer programs - Experience and familiarity with AI and Large Language Models - Previous work in Customer and/or Employee Experience software and systems, including pre or post-sales support What You Should Know About This Team - The Qualtrics Solution Engineers team is known for its collaborative spirit, a strong desire to learn, and, most importantly, to positively impact the lives of our customers. - Our mission is to support the sales team and Qualtrics in general in achieving their sales targets by conveying confidence to the customer and demonstrating the value of our technology. - No challenge is too small for us, and often creativity is our best tool at work. - We are a dynamic team that feels very comfortable in constantly changing environments. Our Team’s Favorite Perks and Benefits - 100% Performance based promotions - not politics or tenure - Pension plan match - We offer private dental and health insurance - Qualtrics Experience Program - $1,800 gross per calendar year for an experience of your choosing (eligible after a year) - Some team members have chosen to use the bonus for vacations, concert or event tickets, or home improvement projects. - Wellness reimbursement - up to the value of $300 per quarter can be reimbursed for a variety of wellness activities The Qualtrics Hybrid Work Model: While this role is exempt from working in office, our hybrid work model remains elegantly simple for the rest of the company: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life. #remote Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic. Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act, Equal Opportunity Employment, Employee Polygraph Protection Act Qualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know. Not finding a role that’s the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit. For full-time positions, this pay range is for base per year; however, base pay offered within this range may vary depending on location, job-related knowledge, education, skills, and experience. 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