Data Architect I- Sigma Developer
Salary undisclosed
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Description
Location - Jersey city, NJ
Onsite Requirement - Y/N- Y
Number of days onsite- 3 days
Must Have Skills
BI tools
Sigma
Data Modelling, workbooks, SQL
Role - Sigma Developer JD : At least 4+ years of experience developing reports in Sigma platform Good experience in BI tools Proficiency with Sigma development techniques including: Data Models Advanced data modeling Workbooks Experience with Actions Advanced visualization skills Proficiency with SQL is Plus
Expectations from this role:
Proficiency: Design, develop and implement data architecture for a large enterprise in two of the following: Data ingestion, Data Management, Data Delivery, Data Consumption. Outcomes: 1. Architect, design and implement high performance large volume data integration, transformation, warehouse, data lakes, data in cloud or large volume warehouse, data in cloud, data analysis , reporting and visualization of data from data warehouse using any one tool like(PowerBI, Tableau, D3 etc)
2. Design and implement any one of cloud big data solution (AWS/AZURE/Google Cloud Platform/Apache Hadoop)
3. Plan information architecture by studying the site concept, strategy, domain and target audience; information structure and features, designing information structure, evaluating information representation, backup, recovery and security specification
4. Customer focus improves customer service, effectively engages customers, build with customer on your solution capability.
5. Provide end-to-end technical guidance and roadmaps for Sales & Marketing
6. Validate estimates from team
7. Hold certification in Architect/Big Data specialty certification in one of AWS or Azure or Google Cloud Platform with experience in knowledge of other architecting Big Data solutions on other cloud and Big Data platforms
Typical performance measures:
1. Percent of time spent in a year to develop for customer an architecture or strategy for data
2. Percent of time spent in solving customer problem in data area
3. Percent of time spent for provide data strategy for customer
4. Dollar value of RFP s won for which solutioning was proposed
5. Dollar value saved for customer using cost reduction or dollar value created for customer by prediction models by you or your teamPerformance Areas:
1. Strategy & Planning:
a) Develop and deliver long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders
b) Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap
c) Establish processes for governing the identification, collection, and use of corporate data assets and metadata; take steps to assure metadata accuracy and validity
d) Establish methods and procedures for tracking data quality, completeness, redundancy, and Improvement
e) Ensure that data strategies and architectures meet regulatory compliance requirements
f) Engage external stakeholders including standards organizations, regulatory bodies, operators, and scientific research communities
g) Ensure business needs in operational data, reporting data are met
Onsite Requirement - Y/N- Y
Number of days onsite- 3 days
Must Have Skills
BI tools
Sigma
Data Modelling, workbooks, SQL
Role - Sigma Developer JD : At least 4+ years of experience developing reports in Sigma platform Good experience in BI tools Proficiency with Sigma development techniques including: Data Models Advanced data modeling Workbooks Experience with Actions Advanced visualization skills Proficiency with SQL is Plus
Expectations from this role:
Proficiency: Design, develop and implement data architecture for a large enterprise in two of the following: Data ingestion, Data Management, Data Delivery, Data Consumption. Outcomes: 1. Architect, design and implement high performance large volume data integration, transformation, warehouse, data lakes, data in cloud or large volume warehouse, data in cloud, data analysis , reporting and visualization of data from data warehouse using any one tool like(PowerBI, Tableau, D3 etc)
2. Design and implement any one of cloud big data solution (AWS/AZURE/Google Cloud Platform/Apache Hadoop)
3. Plan information architecture by studying the site concept, strategy, domain and target audience; information structure and features, designing information structure, evaluating information representation, backup, recovery and security specification
4. Customer focus improves customer service, effectively engages customers, build with customer on your solution capability.
5. Provide end-to-end technical guidance and roadmaps for Sales & Marketing
6. Validate estimates from team
7. Hold certification in Architect/Big Data specialty certification in one of AWS or Azure or Google Cloud Platform with experience in knowledge of other architecting Big Data solutions on other cloud and Big Data platforms
Typical performance measures:
1. Percent of time spent in a year to develop for customer an architecture or strategy for data
2. Percent of time spent in solving customer problem in data area
3. Percent of time spent for provide data strategy for customer
4. Dollar value of RFP s won for which solutioning was proposed
5. Dollar value saved for customer using cost reduction or dollar value created for customer by prediction models by you or your teamPerformance Areas:
1. Strategy & Planning:
a) Develop and deliver long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders
b) Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap
c) Establish processes for governing the identification, collection, and use of corporate data assets and metadata; take steps to assure metadata accuracy and validity
d) Establish methods and procedures for tracking data quality, completeness, redundancy, and Improvement
e) Ensure that data strategies and architectures meet regulatory compliance requirements
f) Engage external stakeholders including standards organizations, regulatory bodies, operators, and scientific research communities
g) Ensure business needs in operational data, reporting data are met
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