Technical Architect

• Architecting and designing analytics platform solution for clients
• Identifying data sources and defining data pipeline, segmentation, and performance engineering for scale
• Managing team of Data Analyst/ Data Engineers assigning work and reviewing quality of deliverables.
• Experience in building business reports and dashboards with latest data warehousing and BI tools such as Snowflake/ Cognos/ Tableau/Superset/PowerBI
• Strong understanding of data modeling, data warehousing concepts and various analytical data models
• Familiarity with business domains such as healthcare
• Migration experience highly preferred
• Azure Cloud experience highly preferred
• Perform research with new technologies and third-party vendor technologies as required and prototyping Design, develop and implement analytics based on the discussions with the team.
• Programming skills in generic analytic platforms using Python/ Java/ Scala

Skills Experience:

• A minimum of 10+ years of experience with complex/large enterprise BI/ETL/Data Warehouse projects, Big Decisions Sales Analytics a.k.a. Redshift and Databricks Platform
• Experience in Designing and architecting Data and BI solutions related to one or more of the following: data quality/data governance assessments, data strategy and roadmaps, integration scoping (requirements, design and mapping), Data warehouse and Data Lake design and implementation.
• Ability to perform Information Management assessments (review of needs, data quality, data security, etc.) and accurately estimate the implementation effort
• Awareness of emerging Data warehouse design approaches and the potential future impact to data warehouse architecture.
• Advanced knowledge in Data warehouse dimensional modelling. Hands on knowledge with at least one Key ETL Market tool like Informatica Power Center, Oracle Data Integrator, Microsoft SSIS etc.
• Hands-on knowledge with at least one Key BI Market tool (IBM Cognos, SAP BO, Oracle BI, Tableau, MS Power BI, QlickView, SSRS etc.)
• Hands-on knowledge of enterprise repository tools, data modelling tools, data mapping tools, and data profiling tools. (e.g. SAS, R etc.)
• Knowledge of latest market trends (Big Data, Blockchain, AI, Cloud, Mobile, etc.)
• Knowledge of master data management and exposure to MDM tools
• Strong communication, networking interpersonal skills
• Strong business analysis, planning, monitoring, requirement management and related knowledge
• Experience with at least one of the Data Quality technologies (i.e. Informatica Master Data Management, SAS data management, Talend Data Quality)
• Solid experience in developing data governance practices at enterprise level - Meta data, data lineage, data classification, data security data life cycle
• Experience with Normalized data store, Operational data store, Dimension data store Enterprise Data lake
• Understanding of predictive and prescriptive modelling.
• Coordinate with the Data Science department to identify future needs and requirements
• Excellent interpersonal and teamwork skills
• Experience to drive solution/enterprise level architecture, collaborate with other tech leads
• Strong problem solving, troubleshooting and analysis skills
• Experience working in a geographically distributed team
• Experience with leading and mentorship of other team members
• Good knowledge of Agile Scrum
• Good communication skills

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