Enterprise DATA Solution Architect

2 weeks ago


Bengaluru, Karnataka, India LTIMindtree Full time

Job Title: Senior Data Architect at [Company Name]



SKILL SUMMARY:
  • Business Domain Acumen: Understanding of various business processes and familiarity with standardization initiatives like Industry 4.0, Open Banking, and ACORD. Proficiency in stakeholder management, analysis of stakeholders' needs, and problem-solving.
  • Problem Solving & Issues Resolution: Proficient in causal analysis, employing different problem-solving techniques, and effectively resolving conflicts. Experienced in working with multi-technology/cross-functional teams to manage the full lifecycle of data solutions.
  • Data Domain Skills: Familiarity with Digital Transformation, OLAP Database Management Systems, ETL Pipelines, Data Modeling, Data Quality, Data Visualization, Data Governance, MDM, AI/ML, Data Observability, and FinOps. Proficiency in end-to-end solution development.
  • Good to have: DBBOK/Data Architecture/TOGAF certifications.
  • Communication: Strong listening skills and effective communication abilities.

Professional Experience Required:
  • 18-20 years of experience in designing and architecting enterprise data platforms.
  • Extensive experience in working with large datasets and hands-on technology skills in designing robust data solutions using frameworks like Spark or hyperscalers (AWS/Azure/GCP) and knowledge of platforms like Databricks/Snowflake, BI & AI tools.
  • Experience in Data governance, Data Quality, Data Catalog, Data Security, MDM, Data Observability, and integration of data platforms with enterprise applications.
  • Strong understanding of data analytics platforms, ETL processes, data modeling, and database design involving Data Warehousing, Business Intelligence systems, and tools. Proficiency in relational and MPP database platforms.
  • Experience in performance tuning of large data platforms.

Technical Experience Required:
  • Proficiency in Azure/AWS/GCP Big Data native services.
  • Experience with platforms like Synapse, Redshift, BigQuery, Snowflake, Databricks, Spark, Cassandra, MongoDB, Hbase, AWS Dynamodb, DocumentDb.
  • Knowledge of tools like Tableau, PowerBI, MSTR, Qliksense, Axure ML, AWS Sagemaker, Vertex, MLOps, Ataccama, Colibra, and Informatica.


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