Senior Data Architect

Ryan LLC; Hyderabad; On-site; INR 2,400,000 - 6,000,000; Full time

Benefits offered by this job

Flexible work

Generous PTO

Benefits package

Company transportation

Career growth

Job summary

Ryan, LLC is seeking a Senior Data Architect in Hyderabad to oversee data ingestion, transformation, and storage for high-volume pipelines. You will design data platform models, work with Databricks lakehouse components, and mentor a growing engineering team.

You will collaborate with product teams to deliver scalable cloud data solutions, ensure data quality and governance, and continually advance platform modeling and analytics capabilities.

Qualifications

• Bachelor’s or master’s degree in a related field.
• 10+ years of experience developing data technologies with data platform modeling.
• 10+ years deploying ETL/ELT on Spark-based platforms (Databricks).
• 10+ years building cloud-based data services (AWS/Azure) with data governance.
• 10+ years of Python/Scala/Java development and SQL proficiency.

Responsibilities

• Design and implement data platform models and data flows in a lakehouse environment.
• Collaborate with product teams to deliver scalable cloud-based data solutions.
• Mentor team members and foster an inclusive, high-performing culture.
• Perform unit tests and architecture reviews to ensure robust data pipelines.

Skills

SQL

Python/Scala/Java

BI reporting

Education

Bachelor's or Master’s in related field

Tools

Databricks

Delta Lake

Unity Catalog

LeanIX/Ardoq

Job description

Why Ryan?

Global Award-Winning Culture Flexible Work Environment Generous Paid Time Off World-Class Benefits and Compensation Rapid Growth Opportunities Company Sponsored Two-Way Transportation Exponential Career Growth

Job Description

The Senior Data Architect is responsible for overseeing the implementation of technical solutions for the ingestion, transformation, processing, and storage of data in high-volume, low-latency pipelines. This role requires an enterprise mindset to build robust, high-performance technology solutions. The Senior Data Architect position combines strong hands‑on technical leadership with the management of matrixed resources to achieve business outcomes. This role is expected to be equally engaged in developing code and developing the skills and competencies of the broader team.

People Model and design the data platform architecture—defining data domains, data flows, and platform topology within a lakehouse environment such as Databricks—while leveraging a variety of tools and languages to build and maintain data pipelines within the Platform Reference Architecture. Work directly with management, product teams, and practice personnel to understand their platform data requirements, translating them into well‑structured platform data models and analytical frameworks that reflect the intended data platform design. Maintain a positive work atmosphere by behaving and communicating in a manner that encourages productive interactions with customers, co‑workers, and supervisors. Develop and engage with team members by creating a motivating work environment that recognizes and rewards strong performance while holding team members accountable. Foster an innovative, inclusive, and diverse team environment, promoting a positive team culture, encouraging collaboration and self‑organization, and delivering high‑quality solutions.

Client Collaborate on an Agile team to design, develop, test, implement, and support highly scalable data solutions on lakehouse platforms such as Databricks, with particular emphasis on platform data modeling, data flow analysis, and ensuring solutions reflect sound data architecture principles. Collaborate with product teams and clients to deliver robust cloud‑based data solutions that drive tax decisions and provide powerful experiences, leveraging data analysis and platform modeling to ensure data is accurate, well‑governed, and business‑ready. Analyze user feedback and activity and iterate to improve services and the user experience.

Value Secure data in alignment with internal information and data security policies, best practices, and client requirements. Create and implement robust cloud‑based data solutions that scale effectively, underpinned by well‑designed platform data models and analytical frameworks—including medallion architecture (Bronze/Silver/Gold) and Delta Lake patterns that provide powerful experiences for both internal teams and clients. Perform unit tests and conduct reviews with other team members to ensure solutions are rigorously designed, elegantly coded, and effectively tuned for performance, including formal platform architecture reviews to validate data flows and platform design against business requirements and enterprise standards. Stay current on technology trends, experiment with and learn new technologies, participate in internal and external technology communities, and mentor other members of the engineering community, with a focus on advancing data platform modeling and analytics capabilities across the practice.

Perform other duties as assigned.

Education and Experience

• Bachelor’s or master’s degree in a related field.
• Ten (10) or more years of experience developing data technologies, with significant depth in data platform modeling, including defining data domains, data products, information flows, and platform reference architectures on lakehouse platforms such as Databricks, including Delta Lake, Unity Catalog, and medallion architecture design.
• Ten (10) or more years of experience deploying extract, transform, and load/extract, load, and transform (ETL/ELT) solutions in production environments, preferably using Spark-based platforms such as Databricks, with strong proficiency in data analysis and profiling to inform platform design decisions and support reporting needs.
• Ten (10) or more years of experience developing cloud‑based data services, preferably in Amazon Web Services (AWS) or Microsoft Azure, with emphasis on data governance, metadata management, and data catalog practices within lakehouse platforms such as Databricks Unity Catalog.
• Ten (10) or more years of experience developing and overseeing the development of Python, Scala, Java, .NET, or similar solutions—including PySpark and Databricks notebooks—combined with strong SQL skills and experience with business intelligence (BI) and reporting tools such as Power BI and Tableau to support analytical deliverables.
• Ten (10) or more years of experience with database and query tuning, including experience in data quality assessment, data profiling, and establishing data standards to ensure accuracy and consistency across data assets.
• Ten (10) or more years of experience in mixed Windows/Linux environments, with demonstrated ability to partner with business stakeholders to define data requirements, validate data definitions, and deliver analytical insights.

Additional Required Skills and Experience

• Proven track record of exceeding goals and evidence of the ability to consistently make sound decisions through a combination of analysis, experience, and judgment.
• Fluency in one or more database technologies; experience with relational and NoSQL databases is preferred.
• Fluency with distributed data platforms, with hands‑on experience using Databricks, including Delta Lake, Unity Catalog, Databricks Workflows, and the Databricks lakehouse architecture, and proficiency with data architecture and platform design tools such as LeanIX, Ardoq, or similar enterprise architecture tools.
• Knowledge of at least one artificial intelligence/machine learning (AI/ML) pipeline technology or platform, along with familiarity with statistical analysis and data visualization to translate findings into clear business recommendations.
• Experience deploying, monitoring, and maintaining data pipelines in production environments—including Databricks Workflows and Delta Live Tables—with familiarity with data governance frameworks, data lineage documentation, and enterprise data catalog tools.
• Design models of the data platform that implement the intended business architecture, including data domains, data products, and information flows within a lakehouse paradigm such as medallion architecture on Databricks.
• Develop diagrams representing key platform components, data flows, and system interactions across the data platform landscape.
• Generate a list of components needed to build the designed platform, including data definitions, integration points, and analytical requirements needed to support the platform architecture.
• Communicate clearly, simply, and effectively.

Computer Skills

To perform this job successfully, an individual must have intermediate knowledge of Microsoft Project, Word, Excel, Access, PowerPoint, Outlook, and Internet navigation and research.

Supervisory Responsibilities

Requires supervisory responsibilities, including training employees, assigning work, and assuring quality throughout deliverables.

Work Environment

Standard indoor working environment. Occasional long periods of sitting while working at a computer. Position requires regular interaction with employees at all levels of the Firm and interaction with external vendors as necessary. Independent travel requirement: As needed.

Equal Opportunity Employer

Ryan offers outstanding opportunities to work in a dynamic, rapidly expanding tax services firm serving the world’s most respected Global 5000 companies. Our innovative work environment, accelerated growth path for high performers, competitive benefits package, and outstanding earning potential provide the most rewarding career experience available in the industry. Ryan employees are given the freedom to do their best work in the way they work best. With a clear understanding of expectations and accountabilities, our employees are given ownership of their time and flexibility to meet the demands of their professional and personal lives.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Ryan LLC (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non‑immigrant status).

Equal Employment Opportunity/Affirmative Action/Accommodation

Ryan, LLC is an equal opportunity employer and is committed to compliance with all applicable laws prohibiting employment discrimination. It is our policy to take all employment actions and make all employment decisions without regard to race, color, religion, creed, gender, sex (including pregnancy), affectional or sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, citizenship status, genetic predisposition or carrier status, disability, military status, status as a disabled or other protected veteran or any other protected status under applicable law. It is Ryan's policy to make reasonable accommodation for qualified individuals with disabilities.

Notice to Canada Candidates

In accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Canadian Human Rights Act, Ryan ULC will provide accommodation, accessible formats and communication supports for the interview upon request. Ryan welcomes and encourages applications from people with disabilities.