Job description

Tiger Analytics is one of the fastest growing advanced analytics consulting and Engineering services firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and Al, and our engineers bring innovative engineering techniques to enable scalable data platforms and data products that are insights driven. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking to hire a Data Architecture Lead to design, develop, and govern the organization’s end-to-end data ecosystem. This role will define the vision, strategy, and roadmap for how data is collected, integrated, stored, and accessed to enable digital transformation, AI/ML, and advanced analytics initiatives. Requirements • Define and execute the enterprise data architecture strategy aligned with overall business objectives. • Establish data principles, frameworks, standards, and blueprints for scalable, secure, and high-performing data platforms (cloud/on-prem/hybrid). • Partner with CIO/CTO and business leadership to ensure data architecture enables digital transformation and analytics-driven decision-making. • Design and maintain data models, data flows, and integration patterns to support enterprise applications and analytics use cases. • Oversee data platform modernization initiatives, including data lake/data warehouse migration, cloud adoption, and data mesh/data fabric frameworks. • Collaborate with engineering, analytics, and data governance teams to ensure consistency, quality, and compliance across all data assets. • Define standards for metadata management, lineage tracking, data quality, and master data management (MDM). • Evaluate and recommend emerging data technologies and architectural patterns to support AI/ML and advanced analytics capabilities. • Mentor and guide technical teams in best practices for data architecture, modeling, and engineering. Required Skills & Experience: • 10–15 years of experience in data architecture, data engineering, or enterprise information management. • Proven experience in designing large-scale, cloud-based data platforms (AWS, Azure, or GCP). • Strong understanding of data modeling, ETL/ELT design, data lakes, data warehouses, and API/data integration. • Hands-on expertise with modern data tools and frameworks (e.g., Databricks, Snowflake, Kafka, Airflow). • Experience enabling AI/ML and advanced analytics initiatives through robust data foundations. • Deep knowledge of data governance, security, compliance, and metadata management frameworks. • Excellent stakeholder management and the ability to align technical strategy with business goals. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Requirements