Data Architect - Chandigarh, India - BizTecno

BizTecno
BizTecno
Verified Company
Chandigarh, India

1 week ago

Deepika Kaur

Posted by:

Deepika Kaur

beBee Recuiter


Description

5+ years of work experience in the following:

  • Define and design future state data architecture for financial budgeting, reporting, forecasting and analysis products.
  • Partner with Technology, Data Stewards and various Products teams in an Agile work stream while meeting program goals and deadlines.
  • Create financial business cases / user personas to support various business initiatives.
  • Engage with line of business, operations, and project partners to gather process improvements.
  • Lead to design / build new models to efficiently deliver the financial results to senior management.
  • Evaluate Data related tools and technologies and recommend appropriate implementation patterns and standard methodologies to ensure our Data ecosystem is always modern.
  • Collaborate with Enterprise Data Architects in establishing and adhering to enterprise standards while also performing POCs to ensure those standards are implemented.
  • Provide technical expertise and mentorship to Data Engineers and Data Analysts in the Data Architecture.
  • Develop and maintain processes, standards, policies, guidelines, and governance to ensure that a consistent framework and set of standards is applied across the company.
  • Create and maintain conceptual / logical data models to identify key business entities and visual relationships.
  • Work with business and IT teams to understand data requirements.
  • Maintain a data dictionary consisting of table and column definitions.
  • Review data models with both technical and business audiences.

You will:
Be part of a team that solves business problems which involve
:

  • Design, document & train the team on the overall processes and process flows for the Data architecture.
  • Resolve technical challenges in critical situations that require immediate resolution.
  • Develop relationships with external stakeholders to maintain awareness of data and security issues and trends.
  • Review work from other tech team members and provide feedback for growth.
  • Implement Data security policies that align with governance objectives and regulatory requirements.

Good experience of:


  • 12+ years of IT experience with major focus on data warehouse/database related projects
  • Expertise in cloud databases like Snowflake/RedShift, data catalogue, MDM etc
  • Expertise in writing SQL and database procedures
  • Proficient in Data ModellingConceptual, logical, and Physical modelling
  • Proficient in documenting all the architecture related work performed.
  • Hand on experience in data storage, ETL/ELT and data analytics tools and technologies e.g., Talend, DBT, Attunity, Golden Gate, FiveTran, APIs, Tableau, Power BI, Alteryx etc
  • Experienced in Data Warehousing design/development and BI/ Analytical systems
  • Experience working projects using Agile methodologies
  • Strong handson experience with data and analytics data architecture, solution design, and engineering experience
  • Experience with Cloud Big Data technologies such as AWS, Azure, GCP and Snowflake
  • Experience working with agile methodologies (Scrum, Kanban) and Meta Scrum with crossfunctional teams (Product Owners, Scrum Master, Architects, and data SMEs)
  • Review existing databases, data architecture, data models across multiple systems and propose architecture enhancements for cross compatibility and target systems
  • Excellent written, oral communication and presentation skills to present architecture, features, and solution recommendations

You'll Work With:


  • Global functional tribe technical leaders (Finance, HR, Marketing, Legal, Risk, IT), product owners, functional area teams across levels
  • Global Data Tribe Management & teams (Enterprise Data Model, Data Catalog, Master Data Management)
  • Consulting and internal Data Tribe teams

Essential Education:


  • Bachelor's degree or equivalent combination of education and experience.
  • Bachelor's degree in information science, data management, computer science or related field preferred.

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