Explore Sr Data Developer Jobs and launch your career at the forefront of data-driven innovation. A Senior Data Developer is a pivotal technical expert responsible for designing, building, and maintaining the robust data infrastructure that powers modern analytics, business intelligence, and machine learning applications. This senior-level role bridges complex business needs with scalable technical solutions, ensuring data is accessible, reliable, and performant for strategic decision-making across the organization. Professionals in these jobs typically undertake a wide array of critical responsibilities. They architect and implement efficient data models, both logical and physical, for data warehouses, data lakes, and transactional systems. A core function is developing and optimizing Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) pipelines to consolidate data from disparate sources. They write complex, high-performance SQL and scripting code to process and manipulate large datasets. Senior Data Developers are also deeply involved in performance tuning, investigating bottlenecks, and optimizing queries and data storage for speed and cost-efficiency. Beyond hands-on development, they often evaluate and integrate new data tools and technologies, establish coding and architectural standards, and provide mentorship to mid-level developers. Their work ensures data governance, security, and quality standards are met throughout the data lifecycle. The typical skill set for these senior roles is both deep and broad. Expertise in SQL and relational database systems (like SQL Server, Oracle, PostgreSQL) is fundamental. Proficiency in big data technologies is increasingly essential, including platforms like Apache Hadoop, Spark (using Scala, Python, or Java), and Kafka for real-time streaming. Experience with cloud data services (AWS, Azure, GCP) and understanding of file formats like Parquet and Avro is highly valued. Strong data modeling skills (dimensional, relational) are a must. Senior Data Developers also possess strong analytical and problem-solving abilities to translate vague business requirements into precise technical specifications. Familiarity with version control (Git), CI/CD pipelines, and agile development methodologies is standard. Excellent communication skills are crucial for collaborating with cross-functional teams, stakeholders, and mentoring junior staff. Most positions require a bachelor's degree in computer science or a related field, coupled with 6-10 years of progressive experience in data engineering or application development. Discover your next challenge among top Sr Data Developer jobs, where you can leverage your advanced skills to build the data foundations that drive business growth and technological advancement. This career path offers the opportunity to work on cutting-edge data platforms, solve large-scale data problems, and play a key leadership role in shaping an organization's data strategy.
