Job Details

ID #45928695
State Georgia
City Atlanta
Job type Contract
Salary USD Depends on Experience Depends on Experience
Source Donato Technologies Inc
Showed 2022-09-23
Date 2022-09-22
Deadline 2022-11-20
Category Et cetera
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Data Governance Solution Architect

Georgia, Atlanta, 30301 Atlanta USA

Vacancy expired!

Job Title: Data Governance Solution Architect

Location: Atlanta GA

Duration: Long-term contract

Job Responsibilities:The Data Governance / DQ solution architect is responsible for Ideating, building, implementing, and supporting various data projects covering different data domains such as data modelling & warehousing, data integration & migration, data quality, data lineage and data governance. These projects will primarily involve cloud solutions (AWS, Azure & GCP) but may also involve source systems on-premises. In this role, the candidate will work closely with Mindtree’s clients to provide data expertise with data quality, migration and integration around leading governance platforms such as Collibra, Alation and Informatica and custom solutions.Responsibilities• Manage and lead assessment, discovery, and project deliveries across all data domains and industries - including BFSI, health care, life sciences, and retail.• Developing and delivering Agile & Adaptive Governance (AG – “Fit for Purpose”) structure & build Point of View (PoV) and provide recommendations.• Create and document Governance standards & procedures, including data lineage, data ownership, metadata (business glossary and data definitions), and data security.• Develop and implement Data Quality standards, data protection standards, and adoption requirements across the enterprise.• Act as a domain expert in platform governance, migration and integration and continue to drive this capability across the Boston market.• Review and create system, software and functional design specifications that address requirements.• Write scripts/procedures/statements using DML and DDL (SQL statements) against databases such as Oracle, SQL Server, DB2, etc.• Use data integration tools and techniques such as ETL (Extract Transform Load), CDC (Change Data Capture), etc.• Provide advice on technical aspects of Governance and integration, including the operational and maintenance aspects of systems under development, and proposed system recovery procedures.• Apply enterprise data management practices and principles in ways of working.• Identify patterns, trends, and insight through use of the appropriate tools.• Identify data quality issues through data profiling, analysis, and stakeholder engagement.• Apply dimensional data modelling concepts and practices to develop conceptual, logical and physical data models to support insight delivery.• Lead and participate in business development, Proof of Concept (PoC), pre-sales activities to craft the right data management solutions for our clients.Requirements• Bachelor’s in computer science, Information Technology or any other discipline.• 5+ years of experience working with data projects such as Master Data Management, Data Quality, Metadata Management, Data Lakes, and other analytical & BI platforms with the ability to be an advocate for architecture that supports.• 5+ years of experience in developing solutions in modern governance tools such as Collibra, Alation and/or Informatica.• Experience in cloud platforms such as AWS, Azure and GCP as well as container technologies (Docker, Kubernetes).• Demonstrable knowledge & Experience using Google Cloud Big Query is highly preferred.• Experience working with both structured and unstructured data sources using cloud analytics (Cloudera, Hadoop etc.)• Proficient with MongoDB, Hadoop, and other database modeling and management tools• Data modeling and profiling.• Solid understanding of data management disciplines, including data quality and master/reference data management.• Experience in working with third party data for data enrichment, validation, and APIs (US Address database, Acxiom, LexisNexis or any financial Account Aggregator tool/database).• Experience enabling and automating data science workflows, apply AI/ML for data management & quality• Hand on experience with applying AI/ML technique for data quality or profiling.• Experience managing and delivering data migration and integration projects.• Previous consulting or client management experience is preferable, but not a requirement.• A strong sense of curiosity to solving complex and business-critical solutions for a diverse background of clients in the Boston market and beyond.• Proficiency with Cloud based infrastructure (GCP, AWS Or Azure).• Exceptional analytical, conceptual, and problem-solving.• Strong knowledge that demonstrates database technical functionality such as performance, security, and reliability.• Strong and effective inter-personal and communication skills and the ability to interact professionally with a diverse group of users and staff.• Should understand and be able to contribute to all phases of the development life cycle.

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