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Solutions Architect
3 days ago
Role- ESA Solution Architect
Company- Top IT System Integrator
Level- Leadership
Experience- 17+ Years
Location- PAN India
- Business Domain acumen- Familiarity with any domain business processes and familiarity with standardization initiatives like Industry 4.0, OpenBanking, ACORD
- Stakeholder management 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 multi-technology/cross-functional teams and customer stakeholders to guide/manage 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, FinOps, 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
- 17+ years of experience in designing, architecting enterprise data platforms
- Extensive experience working with large data sets with hands-on technology skillsto 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 Integrating 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 RedShift/GCP Big Query)
- Experience in performance tuning of large data platforms
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