
SQL Server Data Architect
2 weeks ago
Job Title: Data Architect
We are seeking an experienced Senior SQL Server Developer to lead our Data & Analytics team in designing, developing, optimizing, and maintaining robust and scalable SQL Server-based solutions.
- This role requires strong hands-on experience with Microsoft SQL Server, SSIS, and Azure Data Factory (ADF) along with proficiency in performance tuning and data warehousing best practices.
The ideal candidate is a problem solver with a passion for database design and data. Key Responsibilities include:
- Designing and developing efficient database structures, stored procedures, triggers, functions, views, and scripts using T-SQL and PL/SQL.
- Writing and optimizing complex SQL queries for high-performance transactional and analytical workloads.
- Performing data modeling, database normalization, indexing strategies, and table partitioning to support scalable solutions.
- Developing ETL solutions using SSIS and Azure Data Factory (ADF) to integrate data from multiple sources.
- Contributing to the design and maintenance of data warehouses, data marts, and operational data stores.
- Implementing data quality, data integrity, and data governance standards.
- Performing data profiling, transformation, cleansing, and validation tasks to ensure consistency and reliability.
- Conducting performance tuning and query optimization using execution plans, indexing strategies, and system monitoring tools.
- Proactively identifying and resolving issues related to database performance, deadlocks, blocking, and data latency.
- Working closely with BI developers, application developers, data analysts, and business stakeholders to gather data requirements and deliver end-to-end data solutions.
- Maintaining clear and up-to-date documentation for database architecture, data dictionaries, and ETL workflows.
- Contributing to code reviews, knowledge sharing, and mentoring junior team members.
- Minimum 6+ years of professional experience in SQL Server development.
- T-SQL / PL SQL scripting and stored procedures.
- ETL development using SSIS (SQL Server Integration Services).
- Azure Data Factory (ADF) for cloud-based data integration.
- Data warehousing architecture and methodologies.
- Strong skills in query optimization, indexing, and performance tuning.
- Good understanding of database security, backups, recovery models, and high availability strategies.
We offer a collaborative and dynamic work environment that encourages innovation, creativity, and continuous learning. Join us in shaping the future of data-driven solutions
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