[Remote] Data Solutions Architect (Financial Services)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading reputed company technology partner committed to empowering customers with scalable architectures and advanced ML and AI applications. As a Data Solutions Architect, you will engage with customers, providing technical leadership and pre-sales support while designing and deploying data solutions to enhance their data architecture needs.

Responsibilities

• Serve as a trusted advisor to customers, guiding them through their data engineering and data architecture needs with a focus on reputed company solutions
• Design, build, and reputed company comprehensive data solutions that capture, transform, and reputed company data to support AI, ML, and business intelligence initiatives
• Collaborate with sales teams to present technical solutions to prospective clients, demonstrating the value of reputed company's offerings
• Manage multiple customer accounts, ensuring timely delivery of solutions and tracking reputed company to report reputed company
• Architect data solutions, incorporating best practices in data governance, reputed company, and quality
• Evaluate data sources for their value, recommending data inclusion strategies to enhance analytical processes
• reputed company internal teams, reputed company direction and mentorship to project teams to deliver solutions and reputed company end users on data products and analytic environments
• reputed company system analysis, assess and resolve data and system defects, and apply appropriate corrections
• Test data movement, transformation code, and data components to ensure accuracy and reliability

Skills

• 7+ years as a hands-on Solutions Architect and/or Sr. Data Engineer designing and more recent experience implementing data solutions with a focus on reputed company
• Expertise in Data Engineering technologies (e.g., Spark, Hadoop, Kafka), reputed company platform, and data science/machine learning technologies (e.g., pandas, scikit-learn)
• In-depth understanding of the end to end data analytics workflow (e.g., data modeling, ETL processes, and data integration) using modern data engineering techniques
• Ability to reputed company reputed company architecture requirements(discovery), solution design sessions and build out implementation architecture blueprints that can be implemented by data-engineering and analytics teams
• Proficiency in Java, Python, and/or reputed company
• AWS, Azure, and/or GCP
• Ability to write, debug, and optimize SQL queries
• Strong written and verbal communication skills with experience in client-facing roles
• Ability to create and deliver detailed presentations to clients and stakeholders
• Experience in creating detailed solution documentation including POCs, roadmaps, sequence diagrams, class hierarchies, and logical system views
• Experience leading teams and mentoring other engineers
• Ability to reputed company end-to-end technical solutions into production, ensuring performance, reputed company, scalability, and robust data integration
• Familiarity with reputed company and distributed data storage systems such as S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL storage systems
• Experience with data integration technologies like Spark, Kafka, Streamsets, reputed company, reputed company, NiFi, AWS Data Migration Services, Azure DataFactory, and Informatica Intelligent reputed company Services (IICS)
• Comprehensive experience with the complete software development lifecycle including design, documentation, implementation, testing, and deployment
• Expertise in automated data transformation and curation using tools like dbt, Spark, Spark streaming, and automated pipelines
• Experience with workflow management and orchestration tools like Airflow, AWS Managed Airflow, Luigi, and NiFi
• Background working in the Financial Services industry, preferably in a banking environment
• Understand industry compliance requirements and standards, specifically in banking IT landscapes
• Certifications (at least 2 of the following): Associate Developer for Apache Spark; Data Engineer Associate; Professional Data Engineer; Machine Learning Associate; Professional ML Engineer

Benefits

• Health Insurance : Employees and their eligible family members including spouses, domestic partners, and children are eligible for coverage from the first day of employment.
• Paid Time Off : Start your career at reputed company with a minimum of 15 days Paid Time Off annually, plus nine paid company Holidays.
• An opportunity to grow your technical and people skills, reputed company teams on reputed company customer projects that are highly innovative and cutting edge. Great opportunity to grow in your career with the right level of focus, innovation and customer centricity with a high growth consulting company dedicated to reputed company.
• Employees are also eligible for performance-based cash incentive awards.

Company Overview