Data Architect - ETL

Responsibilities : Overseeing data infrastructure needs as we continue to scale our business to support our 1-10 growth journey. Job Scope and Role : - Design and implement a robust Data Access Layer to provide consistent data access needs to the underlying heterogeneous storage layer. - Develop and enforce data governance policies, ensuring data security, quality, and compliance across all systems. - Lead the architecture and design of data solutions that leverage the latest tech stack and AWS cloud services. - Collaborate with product managers, tech leads, and cross-functional teams to align data strategy with business objectives. - Oversee data performance optimization, scalability, and reliability of data systems. - Guide and mentor team members on data architecture, design, and problem-solving. - Champion best practices in data management, including data modeling, ETL processes, and data integration. - Stay abreast of emerging trends in data technology, particularly in AI/ML applications for finance. Requirements : - 10years of experience in data-related roles, with at least 5 years in a senior leadership position overseeing data architecture and infrastructure. - Deep background in designing and implementing enterprise-level data infrastructure, preferably in a SaaS environment. - Extensive knowledge of data architecture principles, data governance frameworks, security protocols, and performance optimization techniques. - Hands-on experience with AWS services such as RDS, Redshift, S3, Glue, Document DB, and other services such as MongoDB, Snowflake, etc. The more comprehensive experience, the better. - Familiarity with big data technologies (e.g., Hadoop, Spark) and modern data warehousing solutions - Strong understanding of data modeling, both relational, unstructured and semi-structured. - Experience with data integration and ETL processes in complex, multi-source environments. - Proficiency in at least one programming language (e.g., - Node.js- , Java, Golang, Python) - must. - Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders. - Proven leadership experience, including team management and cross-functional collaboration. - Bachelor's degree in computer science, Information Systems, or related field - Master's degree preferred. Preferred Qualifications : - Experience with Generative AI and Large Language Models (LLMs) and their applications in data solutions. - Familiarity with financial back-office operations and FinTech domain (ref:hirist.tech)

Location: hyderabad, IN

Posted Date: 10/31/2024