Senior Data Architect
COMPANY OVERVIEW:
Our client is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using a proprietary, award-winning platform, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, they help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance.
They serve the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. The Analytics practice provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, they take an industry-specific approach to transform clients’ decision making and embed analytics more deeply into their business processes. They have a global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization.
POSITION OVERVIEW:
As a senior data architect, you will develop and manage data models, guidelines, and techniques. You may also manage the resources of a variety of business analysts to leverage design data analysis and visualization tools, and standardize data models and domains.
RESPONSIBILITIES:
- Expected to work in close collaboration with the team and client on data transformation, data engineering and data technology projects
- Work with client to understand company needs to define architecture and build data solutions
- Plan and design the structure of a technology solution
- Understanding of strategic data and IT solutions
- Evaluate and select appropriate software or hardware and suggest integration methods
- Ensure the implementation of agreed architecture and infrastructure
- Familiarity with various operating systems (e.g. Windows, UNIX) and databases (e.g. MySQL, DB2, SQL Server, Oracle, DynamoDB, MongoDB, Redshift etc.). Familiarity with SFTP tools.
- Doing independent research, analyze, and present capabilities and alignment with current solution
- Experience in cloud technologies (PaaS, IaaS, SaaS, AWS, Azure, IBM Cloud etc.)
- Managing the learning and development of new team members
- Identify and participate in continuous improvement initiatives
- Ensure compliance with Data Privacy and Protection Guidelines
- Participate in business development activities
- Experience in insurance preferred but not mandatory.
Key Responsibilities & Skillsets:
Common Skillsets:
- 10+ years of experience as Technical Architect/Data Architect
- Expertise in building solution architecture, data pipelines, technical workflows
- Excellent communication & presentation skills with consultative mindset
- Should be able to lead team independently and prepare/manage client ready deliverable
- Able to understand cross cultural differences and can work with clients across the globe
Data Management Skillsets:
- Strong familiarity with data engineering principles, architectures, pipeline design and cloud technologies. Must have experience working and building architecture/pipelines on AWS.
- Strong and in-depth understanding of Data Engineering Fundamentals
- Solid and in-depth knowledge of Cloud data management (AWS services)
- Experience with AWS technologies including AppSync, Lambda, Step Functions, Event Bridge.
- Solid experience of AWS services such as CloudFormation, S3, Glue, EMR/Spark, RDS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc.
- Knowledge of modern cloud native data warehouses i.e., AWS Redshift, Snowflake or Azure Synapse Analytics
- Experience implementing metadata solutions leveraging AWS non-relational data solutions such as ElasticCache and DynamoDB.
- Good knowledge of data base management and SQL, Informatica, Hadoop/Spark, and ETL tools.
- Ability to understand data models and identify ETL optimization opportunities. Exposure to ETL tools is mandate
- Should have strong grasp of advanced SQL functionalities (Partitioning, CTE, Schemas, Architecture etc.)
- Strong ability to translate functional specifications / requirements to technical requirements
PREFERRED PROFILE:
- Bachelor’s/Master’s degree in computer science/engineering
- Expertise in AWS
- Data/Technical Architect experience is mandatory
- AWS Solutions Architect or AWS Big Data Certification preferred
- Analytical and problem solving skills
- Outstanding written and verbal communication skills
- Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
LOCATION: Jersey City (Hybrid)
Job ID# 1904420
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