Job description

Note: The job is a remote job and is open to candidates in USA. Tiger Analytics is one of the fastest growing advanced analytics consulting and Engineering services firm, and they are seeking 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. Responsibilities • 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. Skills • 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. Company Overview • Tiger Analytics offers data analytics and predictive modeling solutions for retail, social media, and online advertising sectors. It was founded in 2010, and is headquartered in San Jose, California, USA, with a workforce of 5001-10000 employees. Its website is http://www.tigeranalytics.com. Company H1B Sponsorship • Tiger Analytics has a track record of offering H1B sponsorships, with 224 in 2025, 158 in 2024, 93 in 2023, 176 in 2022, 123 in 2021, 64 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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