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Senior Data Architect

3 months ago

Bengaluru, Karnataka, India Swift Strategic Staff Solutions INC Full time
About the Senior Data Architect Role:
We're on the lookout for a skilled and forward-looking Senior Data Architect to join our expanding data team. As the Senior Data Architect, you'll be in charge of spearheading the design, progress, and deployment of our corporate data architecture.

You'll have a pivotal part in outlining and executing strategies to guarantee our data infrastructure is scalable, safe, and aligns with the developing demands of the business.


Senior Data Architect Responsibilities:
  • Lead the creation and execution of the corporate data architecture covering data governance, data modeling, data warehousing, data lakes, and data pipelines.
  • Collaborate with business stakeholders to grasp data necessities and convert them into technical resolutions.
  • Devise and deploy a sturdy data governance structure to ensure data quality, safeguarding, and adherence.
  • Formulate and uphold data models that enhance data storage, retrieval, and examination.
  • Choose and implement fitting data warehousing and data lake technologies.
  • Develop and execute data pipelines to effectively draw out, transform, and load data from various origins.
  • Fuse data architecture with business intelligence (BI) and analytics tools.
  • Keep abreast of the newest trends and technologies in data management and big data.
  • Guide and mentor junior data architects and data engineers.
  • Supervise data architecture projects efficiently, ensuring prompt completion within the allocated budget.

Senior Data Architect Qualifications:
  • Over 15 years of expertise in data architecture, data modeling, and corporate data management.
  • Demonstrated history of triumphantly crafting and deploying intricate data architectures.
  • Profound understanding of data governance principles and prime practices.
  • Proficiency in data modeling methodologies (e.g., Kimball, Inmon).
  • Familiarity with data warehousing and data lake technologies (e.g., Snowflake, Redshift, Azure Synapse, Hadoop, Spark).
  • Adeptness in data integration tools and ETL/ELT processes.
  • Exposure to cloud-based data platforms (AWS, Azure, GCP) is advantageous.
  • Strong grasp of SQL and scripting languages (e.g., Python).
  • Exceptional communication, presentation, and interpersonal abilities.
  • Capability to lead and cooperate efficiently with multifunctional teams.
Strong analytical and problem-solving skills.