Enterprise Data Architect
3 weeks ago
Job Title: Enterprise Data Architect
Primary Skill: Expertise with Snowflake, Databricks, JSON, XML, API, Data platform and data warehouse.
Location: Hyderabad/Pune
Mode of Work: Work from Office
Experience: 12-18 years
About the Job :
Are you someone who has a strong data engineering background who is passionate about tackling complex enterprise business challenges by designing data driven solutions? Then read on
ValueMomentum is looking for an experienced Snowflake Architect to join our team and provide technical leadership and expertise in designing and implementing scalable and efficient data solutions using the Snowflake platform. You will be part of a highly collaborative and growing team and solve complex business challenges leveraging modern data and analytics technologies. As a Enterprise Data Architect, you will play a critical role in driving the architectural direction, guiding the development team, and ensuring the successful delivery of complex data projects. This is an exciting opportunity to work with cutting-edge technologies, collaborate with cross-functional teams, and shape the future of our data infrastructure.
At ValueMomentum, we endorse a culture of experimentation and constantly strive for improvement and learning. You will be exposed to advanced tools, technologies, methodologies, and best practices that will help you develop your skills and grow in your career.
Know your team:
At ValueMomentum's Engineering Center , we are a team of passionate engineers who thrive on tackling complex business challenges with innovative solutions while transforming the P&C insurance value chain. We achieve this through strong engineering foundation and continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas: Cloud Engineering, Application Engineering, Data Engineering, Core Engineering, Quality Engineering, and Domain expertise.
Join a team that invests in your growth. Our Infinity Program empowers you to build your career with role-specific skill development leveraging immersive learning platforms. You'll have the opportunity to showcase your talents by contributing to impactful projects.
Responsibilities:
Provide partnership, domain expertise, direction, and accountability for strategic architecture plans, system design, and implementation standards for the data domain. 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. Develop an integrated view of data capabilities and processes, using a repeatable approach, cohesive framework, and available industry best practices and techniques. Provide consulting and make 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. Develop 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). Define data and attribute definitions and master dataset within the data domain. Document domain definition governance processes and platform. Document capabilities and coverage for data lineage within the data domain. Create diagrams of overall data landscape within a data domain, including current and future state data flows. Develop data mapping document (initiate/support). 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.Requirements:
Minimum eight years of relevant experience as a data architect or data engineer building large-scale data solutions. Bachelor's degree in engineering, Information Technology, Computer Science, or a related field. 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. 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 P&C domain experience a plus. Consulting mindset – highly collaborative, highly communicative approach with an eye on influence, rather than control. Ability to work on high-level strategy and low-level tactical integration along with stakeholders at all levels of the organization. Ability to communicate complex systems and concepts through pictures. Clear and concise communication skills – both written and oral. Remains unbiased to specific technology or vendor – more interested in results.-
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