Big data architect

2 weeks ago

Atlanta, United States Axius Technologies Inc. Full time

Job role : Big Data Architect

Location : Atlanta, GA (HYBRID )

Duration : Long term contract

Summary

The Data Architect will be responsible for plotting a holistic data architecture to transform data environments into a highly valued business asset supporting the dynamic data science and analytics needs of the future, leveraging appropriate data platforms and technologies. The architect will partner closely with architecture peers, Information Management design teams, and the business stakeholders. This role will serve as lead Enterprise Data Architect in the strategic initiative called “Data Transformation” defining the architecture for including designing the strategy (with the business) to simplify data environments, data integration, and build-out of a new, efficient enterprise class data warehouse and lake.

A successful person in this role will:

· Partner with business leadership to identify problems, and opportunities for technological innovation.

· Partner with peer architects, design, and engineering Information Management teams.

· Help establish a clear, consistent technology vision through collaboration, influence, and enablement.

· Research, recommend, design, and develop our Big Data Architecture.

· Implement business and IT (Information Technology) vision through creation of new architecture strategy to span all data platforms (relational, NoSQL etc.)

· Devise as-is, to-be and interim big data platform architecture to support data needs and platform / data integration transformation.

· Ensures system, technical and product architectures are aligned with business objectives.

· Anticipates and manages technology evolution and relates it to business solutions. Sets direction based on alignment to business and overall technology standards.

· Stay informed on initiatives across the industry and the enterprise to help product owners and IT leadership effectively prioritize.

· Tailor communication and concisely convey complex ideas to diverse audiences and venues.

· Craft guidance that helps delivery teams identify quality risk factors around security and compliance.

· Provide tools that enable development teams to rapidly build databases that enable them to deploy software that is consistent with the broader architectural vision.

· Identify and assess the organizational impact of enterprise Big Data Architecture and standards, including change in skills, processes, and structures.

· Accelerate delivery by forming a network of positive relationships with vendors, and other influencers within the enterprise and beyond.

· Promote the company's technology brand through creative thinking, and constantly raising the bar of what is possible.

· Mentor associate engineers, architects, and senior leadership alike. Inspire and lead senior technical individual contributors.

Who is an ideal fit:

· You have ±10 years demonstrating a high degree of proficiency in designing and engineering complex, high-quality data technical architectures and detailed designs.

· Five (5) or more years in a Data Architecture role architecting data warehouses and/or data lakes with big data technologies such as Hadoop, MapReduce, Hive, HBase, Redshift and BigQuery.

· You have depth and hands-on experience devising Architecture best practices, deliverables, drawings, and frameworks

· You have a record of accomplishment of crafting massively scalable, always-on, multi-region data systems.

· You can show a history of incrementally transitioning legacy data systems supporting modern, evolutionary architectures.

· You have utilized one or more cloud-based platforms such as AWS, Azure, and Google Cloud, and can elaborate on the *aaS hierarchy.

· You are fluent in various forms of machine learning and have practical experience of how to deploy into applications.

· You understand the consequences of massively concurrent systems, and how to mitigate potential issues.

· You have proven expertise in a wide variety of database technologies, from PostgreSQL and SQL Server to NoSQL systems such as MongoDB, Couch, Cassandra, and/or Elasticsearch, and can explain their varied use cases.

· You have developed strategies for data movement, data obfuscation (data masking), record retention (Deletion and Archival), data infrastructure/security, operational data stores (ODS), enterprise data warehouses, data lakes and the operational reporting.

· You have deep knowledge of how to secure complex data systems and infrastructure against different attack vectors. You have led threat modeling exercises and helped craft remediation plans.

· You have been a decision maker in build vs buy scenarios, and how to break down the pros and cons of both.

· You have created systems spanning a variety of modern architectural paradigms.

· You have made the leap of guiding application teams to provide insights and actions through machine learning/artificial intelligence techniques.

· Finance industry experience is a plus.

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