Role Description - Design, optimize, and maintain stored procedures and SSRS reports across the ClubReady reporting environment. - Own the customer-facing Postgres data mart product serving enterprise clients. - Co-own migrating from the legacy Go ETL to the new Fivetran → Snowflake → dbt → Postgres pipeline, partnering with the central data team. - Serve as technical domain expert for assisting data mart customers. - Triage and resolve customer-reported data discrepancies. - Author Azure DevOps work items, review pull requests, and operate inside two-week sprints. - Maintain the internal data dictionary and the external data documentation. - Tune queries and indexes against very large tables (multi-billion-row scale) where wrong choices have real customer-visible cost. - Join customer calls directly with enterprise account managers and customer-side data analysts to scope and deliver work. Qualifications - 5+ years of data engineering or BI development experience with deep T-SQL and SQL Server in a transactional, customer-facing environment. - Bachelor's degree in Computer Science, Information Systems, Engineering, or related field — or equivalent professional experience. - Production experience with at least one analytics warehouse stack (Snowflake, BigQuery, or Redshift) and modern ELT tooling (dbt, Fivetran, Airbyte, or similar). - Strong query performance instincts: indexing strategy, execution plans, statistics, partitioning, and rewrite patterns for legacy procs. - Proficiency in SQL and at least one scripting language (Python preferred). - Experience with SSRS or another enterprise reporting platform. - Demonstrated ability to operate as a senior IC: own scope end-to-end without close supervision. - Excellent written and verbal communication. - Comfort working directly with external customers and stakeholders (finance teams, account managers, customer-side analysts). Requirements - Customer-Facing: Comfortable being the technical face of BI to enterprise customers, finance teams, and account managers who don't read SQL. - Senior IC Mindset: Owns scope end-to-end — writes their own work items, pushes their own PRs, defends their own estimates. - Performance-Instinctive: Reads execution plans, indexes, and statistics fluently; debugs why a 5-second proc went to 5 minutes without flailing. - Pragmatic: Comfortable maintaining legacy systems while migrating to new ones; doesn't insist on rebuilds when the runway doesn't support it. - Accountable/Responsible: Takes initiative on a small team where the customer surface is much larger than the engineering headcount. Preferred Qualifications - Experience supporting a multi-tenant data product (per-customer schemas, row-level security, tenant onboarding workflows). - Postgres at production scale. - Experience within the boutique fitness industry. - Go experience for maintaining the legacy custom ETL during the sunset period. - Familiarity with Azure DevOps for source control and work tracking. - Exposure to AI-assisted analytics work (Snowflake Cortex, Claude, embedded LLM reporting). - Track record of mentoring or growing more junior engineers. Ready to apply? To start your application, please submit your resume, and we will be in touch as soon as we can. Got questions? You can email us at talentsupport@xplortechnologies.com .

This is a remote role within the United States. Due to FedRAMP requirements, this role requires US citizenship. Join the team building SailPoint Observability & Insights, an industry-leading visualization capability for identity governance that shows every access path from identities to sensitive data and enables fast, policy-driven action from a unified view. This is a Senior role: you will design and build critical systems, set technical direction, and lead cross-team execution. You will own core data platform capabilities behind Observability & Insights (powered by SailPoint’s internal Identity Graph), spanning batch and streaming pipelines, warehousing, and graph-oriented storage. You will help power a graph with billions of nodes and edges, where backend architecture directly determines UX speed, clarity, and trust. Responsibilities - Lead architecture and implementation of scalable ETL/ELT pipelines and data services for Observability & Insights. - Own technical strategy for core data domains; align roadmap and design decisions across partner teams. - Act as primary technical lead for cross-team initiatives with clear delivery outcomes. - Set and enforce standards for data quality, governance, lineage, observability, and operational readiness. - Drive performance and cost improvements across Spark/Flink/SQL/CQL workloads and storage patterns. - Optimize graph-serving data models and access patterns so complex relationship visualizations remain responsive at extreme scale. - Partner closely with product and UI engineering to deliver low-latency experiences for graph exploration, filtering, and risk investigation. - Lead design reviews and provide high-signal code and architecture feedback. - Use AI-assisted development practices to accelerate delivery while upholding architecture, security, data governance, and code-review standards. - Partner with product, infrastructure, security, and analytics teams to define practical solutions. - Participate in on-call for critical systems and lead incident follow-throughs that improve system resilience. Requirements - 5+ years building production software, with substantial time in data engineering at SaaS scale. - 4+ years owning architecture for commercial data platforms or major data subsystems. - US Citizenship is required for this position due to FedRAMP support responsibilities. - Expert experience with Snowflake data modeling and query optimization. - Strong hands-on experience with dbt, Airflow, and distributed processing patterns (batch + streaming). - Strong experience with Cassandra and familiarity with graph-oriented data systems. - Experience building or operating systems that handle billions of relationships with predictable latency and high reliability. - Deep understanding of cloud-native systems on AWS, Azure, or GCP. - Proven record of leading high-complexity projects across team/org boundaries. - Practical experience using AI-assisted software development tools (e.g., GitHub Copilot, Cursor, or Claude Code) in a professional engineering workflow, including data modeling, SQL/dbt, and pipeline development, testing, and documentation, with disciplined review before production use. - Proven ability to improve team-level delivery quality (planning, dependencies, execution, reliability). - Strong communication skills: can explain tradeoffs to engineers, product leaders, and executives. - BS in Computer Science, Engineering, or equivalent practical experience. Preferred - Experience running data platforms with SLOs and modern observability (Grafana, Prometheus, Datadog). - Experience instrumenting data jobs and services for performance, quality, and cost visibility. - Familiarity with IAM/IGA, compliance, security, or privacy-sensitive product domains. - Experience with Kubernetes, infrastructure-as-code, and continuous delivery for data systems. - Familiarity with data lake patterns and Spark/Flink operational tuning. What success looks likeFirst 30 days - Ramp quickly on Observability & Insights architecture, operations, and roadmap. - Contribute meaningful improvements (reliability, performance, or design quality). - Build strong working relationships with key partner teams. By 90 days - Own a major data-layer initiative end to end. - Publish and align a technical strategy for your domain with partner teams. - Raise design and execution quality through reviews, standards, and clear technical direction. By 6 months - Deliver at least one cross-team, high-impact program with measurable product and engineering outcomes. - Establish durable architecture and operating practices that improve reliability, cost, and delivery speed. - Improve end-user graph exploration performance for dense, large-scale relationship paths. - Be a recognized technical leader for Observability & Insights data architecture and execution. Benefits and Compensation listed vary based on the location of your employment and the nature of your employment with SailPoint. As a part of the total compensation package, this role may be eligible for the SailPoint Corporate Bonus Plan or a role-specific commission, along with potential eligibility for equity participation. SailPoint maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect SailPoint’s differing products, industries, and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. We estimate the base salary, for US-based employees, will be in this range from (min-mid-max, USD): $112,500 - $189,626.00Base salaries for employees based in other locations are competitive for the employee’s home location. Benefits Overview 1. Health and wellness coverage: Medical, dental, and vision insurance 2. Disability coverage: Short-term and long-term disability 3. Life protection: Life insurance and Accidental Death & Dismemberment (AD&D) 4. Additional life coverage options: Supplemental life insurance for employees, spouses, and children 5. Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account 6. Financial security: 401(k) Savings and Investment Plan with company matching 7. Time off benefits: Flexible vacation policy 8. Holidays: 8 paid holidays annually 9. Sick leave 10. Parental support: Paid parental leave 11. Employee Assistance Program (EAP) and Care Counselors 12. Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options 13. Health Savings Account (HSA) with employer contribution SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law. Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact applicationassistance@sailpoint.com or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations. NOTE: Any unsolicited resumes sent by candidates or agencies to this email will not be considered for current openings at SailPoint.

• Own day-to-day operations of Azure SQL Managed Instance environments including performance monitoring, troubleshooting blocking and long-running queries, index and statistics maintenance, and SQL Agent job management • Monitor, triage, and restart Azure Data Factory pipeline runs; understand ETL dependencies and troubleshoot integration failures between ADF, SQL MI, and Azure Storage • Manage SSIS package execution and re-runs, including HR/personnel integration processes and common failure pattern diagnosis • Support Azure infrastructure operations including App Services, App Service Environments, deployment slots, WebJobs, Storage Accounts, and certificate lifecycle management • Validate and test database backups, restores, and job chains to ensure recoverability • Continuously inventory manual operational tasks across the data stack and prioritize them for automation • Design and implement automation solutions using PowerShell, Python, Azure Automation, Logic Apps, or Azure Functions to eliminate repetitive manual work • Build self-healing pipeline patterns in ADF and Azure DevOps – automatic retry logic, alerting, and recovery runbooks • Build and maintain CI/CD pipelines in Azure DevOps for data platform and infrastructure deployments • Participate in regular customer and internal EverOps scrums • Diagnose and differentiate between application-layer, data platform, and infrastructure-layer issues • Produce high-quality daily operational reports and documentation • Participate in the off-hours on-call rotation and perform planned off-hours maintenance as required

Role Description We are looking for a skilled and motivated Data Engineer Specialist to join our team. The responsibilities of this role is to design, build, and maintain a robust, self-service, scalable, and secure data platform and end-to-end data pipelines that empowers Data Analysts, and Data Scientists to deliver insights and drive strategic decision-making. Responsibilities of a Data Engineer at QuintoAndar: - Build and maintain a high-performance data platform that meets the company's needs, connects with product solutions, and leads analytical innovation, enabling incredible architectures and efficient platforms; - Create and edit data pipelines, considering business logic that best applies to the area in question, choosing levels of aggregation, grouping and transforming fields, checking data quality, and cleaning the data; - Create data modeling and transformation workflows, enabling the creation of clear and accessible data abstractions; - Responsible for the entire code development lifecycle (monitoring deployment, documentation, performance, security, adding metrics and alarms, ensuring SLO budget compliance, and more); - Investigate inconsistencies and be able to trace the source of differences (data troubleshooting); - Enable teams across the company to access and use data more effectively through self-service tools and well-modeled datasets; - Align with stakeholders to understand their primary needs, while also having a holistic view of the problem and proposing extensible, scalable, and incremental solutions; - Conduct PoCs and benchmarks to determine the best tool for a given problem, and decide whether to use an off-the-shelf solution or develop one in-house; - Contribute to defining the strategic vision, crossing team and service boundaries to solve problems; - Advocate for the value of data analytics and engineering within the organization and fostering a data-driven culture; - Be a reference within the chapter on technical concepts, tools, and/or best coding practices. Qualifications - Specialist in technologies, solutions, and concepts of Big Data (Spark, Hadoop, Hive, MapReduce) and multiple languages (YAML, Python); - Experience with Airflow, Spark, AWS and Databricks; - Strong foundation in software engineering principles, with experience working on data-centric systems; - Experience with columnar storage solutions and/or data lakehouse concepts; - Proficiency in Python, or one of the main programming languages, and a passion for writing clean and maintainable code; - Strong knowledge in optimizing SQL query performance; - Experience in building multidimensional data models (Star and/or Snowflake schema); - Understanding of the data lifecycle and concepts such as lineage, governance, privacy, retention, anonymization, etc.; - Knowledge in infrastructure areas such as containers and orchestration (Kubernetes, ECS), CI/CD strategies, infrastructure as code (Terraform), observability (Prometheus, Grafana), among others; - Proficiency in English - our code, documentation, tools, and materials are often structured in English; - Excellent communication skills, proactively sharing and collaborating with both technical and non-technical stakeholders to translate business needs into scalable data solutions; - Experience as a tech/project lead or similar; - Curiosity, detail-orientation, and thrive in a fast-paced, data-driven environment. Requirements - You will stand out if you have participated in building large-scale data platforms for big data sets and teams using Big Data technologies such as Spark, Trino, Hive, Atlas, Ranger, etc.; - Experience in building semantic layers. Benefits - Competitive salary; - Profit sharing; - Meal allowance; - Health insurance; - Dental plan; - Life insurance; - Childcare subsidy and Atypical Parenthood subsidy; - Wellhub; - Home office allowance; - Employee assistance program (mental health, social, legal, and financial support); - Extended parental leave; - Day off on birthday, Mother’s Day, and Father’s Day; - Benefits Club (discounts on everyday services); - Discounts at educational institutions; - Reading kit for children – PlayKids.