[Remote] Senior Data Architect Engineer (SaaS)
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a rapidly growing reputed company SaaS company on a mission to transform reputed company with innovative technology. They are seeking an reputed company Senior Data Engineer / Data Architect to reputed company the design and development of their reputed company data platform, ensuring the delivery of high-quality data solutions that support operational reporting and advanced analytics.
Responsibilities
- 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
- 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
- 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
- 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
- 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
Skills
- 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
- 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
- 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
- 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
Benefits
- Paid time off
- Medical benefits
- The potential for an annual performance bonus
- Equity
Company Overview