Requirements:
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.