Architect – Data

ValueMomentum, Inc.; Hyderabad; On-site; INR 3,500,000 - 5,500,000; Full time

Benefits offered by this job

Health benefits

Career growth

Life insurance

Job summary

ValueMomentum, Inc. is seeking an experienced Data Architect to lead enterprise data architecture initiatives in Hyderabad, focusing on scalable data solutions and cloud migrations.

You will collaborate with programs to map data dependencies, assess risk, and guide decisions aligned with the data domain roadmap. The role requires strong experience in data governance, modeling, and ETL design, with hands-on use of Snowflake and cloud platforms to deliver high-quality data capabilities across the

Qualifications

• Experience designing and implementing enterprise data architectures.
• Proven ability to establish data governance, lineage, and quality controls.
• Design of scalable ETL pipelines and data transformation processes.
• Strong data modeling skills across relational and semi-structured data.

Responsibilities

• Lead efforts to ensure data capabilities operate efficiently, accurately, and with high quality.
• Collaborate with programs to understand data dependencies and guide data project decisions.
• Develop an integrated view of data capabilities using a repeatable framework and best practices.
• Contribute to data domain feasibility analyses and roadmap planning.
• Define and publish data standards, governance processes, and lineage coverage.

Skills

Data architecture

Data governance

ETL design

Data modeling

SQL

Cloud platforms

API integration

Tools

Snowflake

Python

Job description

• Lead efforts to ensure data capabilities are operating efficiently, accurately, and with high quality.
• Collaborate with programs & projects to understand data dependencies, anticipate risks, and identify opportunities. Guide data project decisions based on the direction of data domain roadmap.
• Contribute data domain expertise to feasibility, complexity assessments of potential future initiatives including data domain analysis.
• Develops an integrated view of data capabilities and processes, using a repeatable approach, cohesive framework, and available industry best practices and techniques.
• Provides consulting and makes recommendations to tackle data transformation initiatives, help mature existing data capabilities, or enable new data capabilities.
• Facilitate the process of defining and publishing data standards, best practices, data capabilities, and data roadmap, synchronized with the overall enterprise future state architecture.
• Collaborate in creation of conceptual and logical architecture and models following the enterprise guidance to describe a particular domain of data and use these models to inform the physical design of data-related projects.
• Co-develop data life cycle governance framework including standards, patterns, and controls.
• Domain Analysis Specification & Findings
• Clearly define the data domain and its confines
• Leverage an organizationally accepted and standardized framework (like CMMI) to evaluate and grade maturity within the defined data domain.
• Identify opportunities for investment along with specified benefits for investment, including the data capability roadmap.
• Document Data Governance Capabilities (co-create)
• Data and attribute definitions and master dataset definitions within the data domain.
• Documentation of domain definition governance processes and platform.
• Documented capabilities and coverage for data lineage within the data domain.
• Diagrams overall data landscape within a data domain, including current and future state data flows.
• Assist in the creation and delivery of Conceptual & Logical Data Model by providing business level understanding of relationships to other domains and business transactions across the enterprise.

Qualifications

• Minimum eight years of relevant experience as a data architect building large-scale data solutions.
• Experience in Migration of existing On-Prem Data warehouses to Snowflake.
• Experience in architecting and large data modernization, data migration, data warehousing – experience with cloud-based data platforms (like Snowflake)
• Experience with defining and operationalizing data strategy, data governance, data lineage and quality standards.
• Experience designing highly scalable ETL processes with complex data transformations, data formats including error handling and monitoring .
• Extensive knowledge of data engineering, data integration and data management concepts (i.e. APIs, ETL, MDM, CRUD, Pub/Sub, etc.)
• Experience with data Modeling.
• Experience with structured and hierarchical datasets (i.e. JSON, XML, etc.)
• Engineering experience with large scale system integration and analytics projects.

About the Company:

Founded in 2000 with the core belief that impactful change comes from deep commitment, ValueMomentum specializes in delivering measurable results across the P&C value stream. For more than 25 years, we have empowered more than 100 carriers to reimagine their businesses with AI and emerging technologies, navigate market shifts, unlock speed to value, and become future-ready. We help insurers in the US, Canada, and Europe stay ahead with sustained growth and high performance to enhance stakeholder value and foster resilient societies.

Our culture – Our fuel

At ValueMomentum, we believe in making employees win by nurturing them from within, collaborating and looking out for each other.

• People firs - Empower employees to succeed.
• Nurture leaders - Nurture from within.
• Enjoy wins - Recognize and celebrate win.
• Collaboration - Foster a culture of collaboration and people-centricity.
• Diversity - Committed to diversity, equity, and inclusion.
• Fun - Create a fun and engaging work environment

Company Benefits:

• Compensation - Competitive compensation package comparable to the best in the industry.
• Career Growth - Career development, comprehensive training & certification programs, and fast track growth for high potential associates.
• Health Benefits: Comprehensive health benefits and life insurance.