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Responsibilities:
Design, develop, and implement enterprise data architectures that meet business needs and comply with data governance standards.
Plan and Lead the migration of on-premises data to Azure Cloud, including SQL Server databases and data warehouses.
Design and implement data lakes and data warehouses using Azure and Snowflake, ensuring scalability, performance, and cost-efficiency.
Develop and maintain data pipelines and ETL/ELT processes for data integration and transformation.
Define data models, schemas, and security protocols to ensure data integrity and access control.
Collaborate with stakeholders to understand business requirements and translate them into technical data solutions.
Monitor and optimize data platform performance, identify and troubleshoot data quality issues.
Analyze, propose, evaluate and influence implementation of Data Governance tools, AI solutions, ML models for predictive analytics and statistical analysis tools.
Leverage automation tools, research & enrich data models with external data sources, design and build integrations (real time streaming and batch).
Stay up-to-date on the latest data technologies and trends, and recommend innovative solutions to improve data management.
Qualifications:
10 years of experience in data architecture and design.
Proven expertise in SQL Server, including database administration, T-SQL scripting, and data modeling.
Strong understanding of cloud-based data platforms, preferably Azure SQL, ADLS, Synapse Analytics and Snowflake.
Experience with building data lake, data warehousing concepts, including dimensional modeling and data governance, understanding and application of ML algorithms.
Excellent communication, facilitation, collaboration, and problem-solving skills.
Ability to work independently and as part of a cross-functional team.
Bachelor's degree in Computer Science, Information Technology, or related field.
Bonus points:
Experience with Azure Data Factory, Azure Databricks, Power BI, Python, Azure ML
Familiarity with data security and compliance regulations (PCI, BSA, GDPR, etc.).
Experience with Agile development methodologies.
Experience in Banking, Financial Services or Insurance.
What we offer:
The opportunity to work on cutting-edge data technologies and make a real impact on our organization.
A collaborative and supportive work environment where your expertise is valued.
Competitive salary and benefits package.
Continuous learning and development opportunities.
If you are a passionate and experienced data architect who is ready to take on a challenging and rewarding role, we encourage you to apply!
Job Type: Contract
Benefits:
Schedule:
Experience:
Ability to Commute:
Ability to Relocate:
Work Location: In person
Contractor
$127k-156k (estimate)
05/24/2024
09/19/2024
The job skills required for Enterprise Data Architect include Data Architecture, Azure, SQL, Data Warehouse, Data Modeling, Computer Science, etc. Having related job skills and expertise will give you an advantage when applying to be an Enterprise Data Architect. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Enterprise Data Architect. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Enterprise Data Architect positions, which can be used as a reference in future career path planning. As an Enterprise Data Architect, it can be promoted into senior positions as a Data Architect V that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Enterprise Data Architect. You can explore the career advancement for an Enterprise Data Architect below and select your interested title to get hiring information.