Enterprise data solution architect
1 month ago
SKILL SUMMARY: Business Domain acumen: Familiarity with any domain business processes and familiarity with standardization initiatives like Industry 4.0, Open Banking, ACORD Stakeholder management: Analysis of the needs of stakeholders, business problems to be solved and status reporting.
Ability to frame architectural decisions, provide technology leadership & direction.
Problem solving & Issues resolution: Causal analysis, employing different problem solving techniques and smart resolution of conflicts.
Ability to work with a multi-technology/cross-functional teams and customer stakeholders to guide/managing a full life-cycle of a data solution 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, Fin Ops.
Experience in end to end solution development.
Good to have DBBOK/ Data Architecture/TOGAF certifications Communication: Good listener and effective at communication.
Professional Experience Required Core Skills 18-20 years of experience in designing, architecting enterprise data platforms Extensive experience working with large data sets with hands-on technology skills to design and build robust Data solutions using one of Spark framework or hyperscaler’s (AWS/Azure/GCP data services) and knowledge on one of data platform tool like Databricks/Snowflake , BI & AI tools & technologies.
Experience/exposure to Data governance, Data Quality, Data Catalog, Data Security, MDM and its implementation styles, Data Observability.
Experience in Integration of data platform with enterprise applications via APIs/event driven architecture etc.
Strong understanding of Data Analytics platforms and ETL in the context of large data sets, batch and streaming, structured, semi-structured and unstructured Extensive experience in data modeling and database design involving any combination of - Data warehousing and Business Intelligence systems and tools Relational and MPP database platforms like (Netezza/Teradata/Azure Synapse/AWS Red Shift/GCP Big Query) Experience in performance tuning of large data platforms.
Technical Experience Required Any combination of the below skills: Azure/AWS/GCP Big data native services Synapse, Redshift, Big Query, Snowflake, Databricks Databricks/Spark in AWS EMR/Spark in Azure HDInsight Cassandra, Mongo DB, Hbase, AWS Dynamodb, Document Db Tableau, Power BI, MSTR, Qliksense Axure ML, AWS sagemaker, Vertex, MLOps Ataccama, Colibra, Informatica
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bangalore, India LTIMindtree Full timeSKILL SUMMARY: Business Domain acumen: Familiarity with any domain business processes and familiarity with standardization initiatives like Industry 4.0, Open Banking, ACORDStakeholder management: Analysis of the needs of stakeholders, business problems to be solved and status reporting. Ability to frame architectural decisions, provide technology leadership...
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