Data Architect

Work Location: Hyderabad

What Gramener offers you

Gramener will offer you an inviting workplace, talented colleagues from diverse backgrounds, career paths, and steady growth prospects with great scope to innovate. We aim to create an ecosystem of easily configurable data applications focused on storytelling for public and private use.

Data Architect

We are seeking an experienced Data Architect to design and govern scalable, secure, and efficient data platforms in a data mesh environment. You will lead data architecture initiatives across multiple domains, enabling self-serve data products built on Databricks and AWS, and support both operational and analytical use cases.

Key Responsibilities

• Design and implement enterprise-grade data architectures leveraging the medallion architecture (Bronze, Silver, Gold).
• Develop and enforce data modelling standards, including flattened data models optimized for analytics.
• Define and implement MDM strategies (Reltio), data governance frameworks (Collibra), and data classification policies.
• Lead the development of data landscapes, capturing sources, flows, transformations, and consumption layers.
• Collaborate with domain teams to ensure consistency across decentralized data products in a data mesh architecture.
• Guide best practices for ingesting and transforming data using Fivetran, PySpark, SQL, and Delta Live Tables (DLT).
• Define metadata and data quality standards across domains.
• Provide architectural oversight for data platform development on Databricks (Lakehouse) and AWS ecosystem.
  
  

Key Skills & Qualifications

Must-Have Technical Skills: (Reltio, Colibra, Ataccama, Immuta)

• Experience in the Pharma domain.
• Data Modeling (dimensional, flattened, common data model, canonical, and domain-specific, entity-level data understanding from a business process point of view).
• Master Data Management (MDM) principles and tools (Reltio) (1).
• Data Governance and Data Classification frameworks (1).
• Strong experience with Fivetran**, PySpark, SQL, Python.
• Deep understanding of Databricks (Delta Lake, Unity Catalog, Workflows, DLT) .
• Experience with AWS services related to data (e.g., S3, Glue, Redshift, IAM, ).
• Experience on Snowflake.
  
  

Architecture & Design

• Proven expertise in Data Mesh or Domain-Oriented Data Architecture.
• Experience with medallion/lakehouse architecture.
• Ability to create data blueprints and landscape maps across complex enterprise systems.
  
  

Soft Skills

• Strong stakeholder management across business and technology teams.
• Ability to translate business requirements into scalable data designs.
• Excellent communication and documentation skills.
  
  

Preferred Qualifications

• Familiarity with regulatory and compliance frameworks (e.g., GxP, HIPAA, GDPR).
• Background in data product building.
  
  

About Us

We consult and deliver solutions to organizations where data is the core of decision-making. We undertake strategic data consulting for organizations, laying out the roadmap for data-driven decision-making. This helps organizations convert data into a strategic differentiator. Through a host of our products, solutions, and Service Offerings, we analyze and visualize large amounts of data.

To know more about us visit Gramener Website and Gramener Blog.

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