We are looking for a seasoned and forward-thinking Data Architect with 10+ years of experience in designing, building, and scaling robust data platforms and solutions. This is a strategic role that blends deep technical expertise with a passion for solving complex data challenges. If you're someone who thrives in fast-paced environments, enjoys architecting next-generation data platforms, and has a strong command over modern data technologies such as Snowflake, dbt, FiveTran, Airflow, and cloud ecosystems like AWS, GCP, or Azure, we’d love to hear from you.
Key Responsibilities
- Architect and implement scalable, secure, and high-performance data solutions using Snowflake and modern cloud-based technologies.
- Design efficient data models, including star and snowflake schemas, to support enterprise-wide reporting, analytics, and data science initiatives.
- Build and manage end-to-end ETL/ELT data pipelines using dbt (Data Build Tool), FiveTran, and Apache Airflow to ensure timely and reliable data ingestion and transformation.
- Implement reverse ETL pipelines using tools like Hightouch to operationalize data and empower business teams with actionable insights.
- Ensure high standards of data quality, governance, and security, aligning with organizational and compliance needs.
- Collaborate with data analysts, data scientists, engineers, and business stakeholders to gather requirements and translate them into efficient data solutions.
- Proactively monitor, troubleshoot, and optimize data workflows and cloud infrastructure to ensure performance and cost-efficiency.
- Lead and evangelize best practices in data architecture, modeling, metadata management, and cloud cost optimization across the organization.
- Stay abreast of evolving data technologies and bring innovative ideas to improve platform reliability, scalability, and accessibility.
- Work with various cloud platforms (AWS/GCP/Azure) to build and scale data solutions tailored to business needs.
Required Skills and Qualifications
- A minimum of 10 years of experience in Data Architecture, Data Engineering, or related roles.
- Expert-level proficiency in Snowflake, including its performance tuning, security features, and advanced capabilities like data sharing and virtual warehouses.
- Hands-on experience building data transformation pipelines using dbt, with a solid understanding of Jinja templating and version control integration.
- Practical knowledge of FiveTran for managed data ingestion and Apache Airflow for orchestrating complex workflows.
- Experience implementing reverse ETL solutions using tools like Hightouch or similar platforms.
- Strong SQL and Python programming skills with a focus on performance optimization and maintainability.
- In-depth knowledge of data warehousing concepts, dimensional data modeling, and modern analytics stack components.
- Demonstrated expertise in working with at least one major cloud platform (AWS, GCP, or Azure), with the ability to provision and manage cloud resources effectively.
- Exposure to ERP systems like NetSuite is a significant advantage.
- Excellent communication skills and the ability to work cross-functionally in a distributed, global team environment.
- A proactive mindset with a passion for learning and innovation.
Additional Information
- Candidates must be able to join immediately.
- An initial onsite presence in Hyderabad for one week is required for onboarding, post that, the role is fully remote across India.
- The position requires working in the afternoon-to-late shift (03:00 PM – 12:00 AM IST) to support global operations.
Why Join Us?
This is an exciting opportunity to be part of a dynamic, data-driven organization where your work directly impacts decision-making at scale. You'll have the chance to work with cutting-edge tools and technologies, contribute to modernizing the data ecosystem, and collaborate with a passionate team of professionals in a flexible and remote-friendly work environment.
If you're a data architecture expert ready to take on your next big challenge, we want to connect with you!
To apply or learn more, please reach out at [email protected]