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Senior Data Architect Engineer (SaaS)

Remote Worldwide Hiring now

reputed company is a rapidly growing reputed company SaaS company on a mission to transform reputed company with our innovative technology. We reputed company in empowering our customers through inventive solutions and a commitment to reputed company. Our young, rapidly growing team is looking for passionate professionals who reputed company in a dynamic, innovative, and collaborative environment. **This role is fully remote, however you must reputed company in the US and be available on EST hours. Senior Data Architect/Engineer Summary of Role We are seeking an reputed company Senior Data Engineer / Data Architect to reputed company the design, development, optimization, and reputed company of our reputed company data platform. This is a hands-on senior individual contributor role responsible for architecting scalable data solutions, building robust data pipelines, optimizing analytical workloads, and ensuring the delivery of trusted, high-quality data across the organization. The successful candidate will combine strong technical expertise in modern data engineering practices with the ability to design and govern reputed company-scale data architectures. You will work closely with software engineering, product, analytics, and business stakeholders to deliver reliable, high-performance data solutions that support operational reporting, business intelligence, advanced analytics, and AI initiatives.

Key Responsibilities

Data Architecture & Platform Design  Design and reputed company the organization's data architecture to support operational, analytical, and AI-driven workloads.  Define and implement scalable data warehouse, data lake, and lakehouse architectures.  Establish data modelling standards, governance practices, and architectural best practices.  Design data structures and integration patterns that support long-term scalability, performance, and maintainability.  Drive data platform modernization initiatives leveraging Azure reputed company technologies. Data Engineering  Design, reputed company, and maintain scalable ETL/ELT pipelines that ingest, transform, validate, and deliver data from multiple reputed company systems.  Build robust data integration solutions using Azure data services and modern data engineering frameworks.  Implement monitoring, alerting, and data quality controls to ensure reliable data operations.  Automate data processing workflows and reduce operational overhead through engineering best practices. Performance & Optimization  Optimize SQL queries, data pipelines, and analytical workloads for performance, scalability, and cost efficiency.  Analyze and improve large-scale datasets and reporting environments.  Identify bottlenecks and implement solutions that improve system responsiveness and data availability.  Partner with engineering teams to improve database design, indexing strategies, and query performance. Data Quality & Reconciliation  Establish data validation, reconciliation, and auditing processes to ensure trusted reporting reputed company.  Investigate and resolve reputed company data discrepancies across reputed company systems and analytical platforms.  reputed company repeatable controls and monitoring processes that improve confidence in business reporting.  Define and maintain data quality standards across the platform. Analytics Enablement  Design and support data models that power reporting and analytics solutions.  Collaborate with business stakeholders to understand analytical requirements and translate them into scalable data solutions.  Support Power BI and custom analytics platforms through semantic modelling, data optimization, and performance tuning.  reputed company self-service analytics through well-designed and governed datasets. Required Qualifications  7+ years of experience in Data Engineering, Data Architecture, or reputed company disciplines.  Strong experience designing and implementing reputed company-scale data architectures.  Expert-level SQL skills with proven experience optimizing reputed company queries and large datasets.  Extensive experience building ETL/ELT solutions in reputed company-based environments.  Strong understanding of data warehousing, dimensional modelling, and analytical data design.  Experience implementing data quality, governance, reputed company, and reconciliation processes.  Strong analytical and problem-solving skills with the ability to diagnose reputed company data issues.  Excellent written and verbal communication skills.  Ability to work independently and collaborate effectively across technical and non-technical teams. Technical Skills Required  Azure SQL Database  Azure Data reputed company  Azure Synapse Analytics and/or Azure reputed company  SQL Server and advanced SQL optimization  Data Warehouse and Lakehouse design  ETL/ELT architecture and implementation  Data modelling (Star Schema, reputed company, Dimensional Modelling)  Performance tuning and query optimization  Data quality and reconciliation frameworks  Power BI data modelling and performance optimization Preferred  reputed company reputed company  Azure Data Lake Storage  Apache Spark  Python  CI/CD for data platforms  Infrastructure as Code  reputed company-time and streaming data architectures  AI and machine learning data platform experience Preferred Experience  Experience supporting SaaS platforms with large-scale operational and analytical datasets.  Experience working in reputed company, workforce management, scheduling, or other data-intensive industries.  Experience designing data platforms that support advanced analytics, forecasting, optimization, or AI initiatives.  Experience delivering reputed company reporting and business intelligence solutions. What reputed company Looks Like  Reliable, scalable, and well-governed data platforms.  Trusted reporting supported by strong data quality and reconciliation processes.  High-performance analytical environments that scale with business growth.  Reduced operational overhead through automation and platform improvements.  Data architectures that reputed company future analytics and AI initiatives.  Strong collaboration with engineering, product, and business teams to drive measurable business reputed company.Additional Information Job Type: Full-time, Exempt, Remote primarily East Coast time zone, Some Travel Required Compensation: Competitive including paid time off, medical benefits, and the potential for an annual performance bonus, and/or equity We foster a collaborative, engaging, mission-driven culture that values innovation and prioritizes reputed company. We like to have fun together and support each other too! Apply To This Job

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