Job Description
ENTERPRISE SR. DATA ARCHITECT
Washington, DC
Full time
QUALIFICATION REQUIREMENTS:
- Required: This position requires Graduate Degree in Computer Science / Engineering / related IT Field with a minimum of 5 years of experience
- OR a Bachelor’s degree in Computer Science / Engineering / related IT field with a minimum of 7 years of experience OR equivalent experience.
- Proven ability to distinguish data and architectural requirements at system level, project level, department level and enterprise level; must be able to perform requirements definition, analysis, data pattern analysis and design in support of enterprise data integration efforts.
- Demonstrated competency in strategic thinking and leadership with strong abilities in relationship management in multi-discipline environments.
- Demonstrated knowledge of data architecture concepts and industry trends.
- Experience leading the design, development and delivery of an enterprise-wide data architecture and blueprint.
ABILITIES/SKILLS:
- Position requires very strong written and oral communications skills, including some presentation skills. Works well under general supervision, with regular review of work needed.
- Candidate must be able to work with a broad range of users, business management, and IT management and project leaders.
- Candidate must possess professional and negotiating skills as well as the ability to function successfully in a team and results oriented environment.
- Experience in Relational, Dimensional Data Modeling with good emphasis on Serving data for Analytics, Reporting, Ad-Hoc Querying spanning across different types of data structures.
- Analyze, evaluate, design databases and identify new solutions to increase performance, efficiency and data life cycle management.
- Develop, document and implement database solution process flows and coordinate with data engineers and analysts.
- Experience with ELT Data Transformation, data modeling and visualization tools.
- Good understanding of Data Pipelines, Data Ingestion from a variety of sources (Relational Database, Parquet, Kafka etc.)
- Experience with Multi-Tenant Database Architecture.
- Hands-on Experience with Hadoop, Map/Reduce, Parquet, Impala, Hive, Spark (Retrieve/Transform data from a variety of sources, be it Parquet, Impala/Kudu etc.)
ADDITIONAL EXPERIENCE (PREFERRED, BUT NOT NECESSARY)
- Experience in curating/provisioning data for Machine Learning.
- Experience with Datawarehouse Platforms like Redshift, Snowflake etc.,
- Experience with ElasticSearc
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