We are looking for a Data Architect, a self-driven senior technical professional to collaborate with our business, Product and Development teams and help qualify, identify, and build Data & Analytics solutions. As part of the Enterprise Data Team, this position is responsible for actively defining robust, efficient, scalable and innovative solutions that are custom fit to our needs.
Who are we?
For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. For a brief 1 minute video about us, you can check https://youtu.be/uJWBWQZEA6o.
Role: Data Architect - Snowflake & Databricks
Location:Atlanta, GA
Day-1 Onsite
Responsibilities:
Play a key role working with product and business teams to understand their strategic, business, and technical needs.
Define technical architecture roadmaps which help realise business values in both tactical and strategic ways.
Define and continuously update architecture principles in line with business and technology needs.
Design solutions involving data architectures based on established principles.
Architectures include but are not limited to data lake, data fabric, dimensional marts, MDM, etc.
Create data flow diagrams and details to establish data lineage and help educate team members in a clear and articulate manner.
Partner with technical leads to identify solution components and latest data related technologies that best meet business requirements.
Identify gaps in the environment, process, and skills with the intent to address, educate, and bring teams together to drive results.
Become a thought leader by educating and sharing best practices, architecture patterns, building deep relationships with technical leaders, contributing to publications, white papers, conferences, etc.
Provide support to enterprise data infrastructure management and analysts to ensure development of efficient data systems utilizing established standards, procedures and methodologies.
Create cloud data models and database architecture using database deployment, monitoring automation code, and for long term technical viability of cloud master data management integrated repositories.
Suggest ideas to improve system performance and cost reduction.
Communicate data architecture to stakeholders and collaborate and coordinate with other technical staff.
Ensures adherence to Enterprise data movement, quality and accountability standards in technology.
Conducts data driven analyses of usage of detailed data elements across the business domain to provide optimal data provisioning patterns across the application space.
Possesses excellent quantitative /analytic skills and are able to influence strategic direction, as well as develop tactical plans.
Improving and streamlining processes regarding data flow and data quality to improve data accuracy, viability and value.
Requirements:
Strong experience in Azure services including but not limited to ADLS, ADF, Event Hubs, Functions, etc.
Exhaustive experience in Data bricks, Snowflake, Apache Airflow, etc.
Exceptional interpersonal skills will ability to communicate - verbal, written, and presentation skills - at all levels, across multiple functions, and drive participation and collaboration.
Demonstrated ability in working with key executives and stakeholders to solve and drive business outcomes.
Deep understanding of processes related to data solution SDLC with clear ability to improve processes where necessary.
Strong analytical and quantitative skills.
Enjoys seeing impact of work in the organization, highly motivated and comfortable with ambiguity.
Maverick approach to work with a passion for technology, and ways of working trends.