ASCENDING LLC
Data Architect(VP)
ASCENDING LLC, Fairfax, Virginia, United States, 22032
Title:
Vice President of Data ArchitectureLocation:
Fully remote in the continental US. Work outside of the US is not permittedTerm:
Long Term
Contract to HireAvailable for W2 or 1099, No C2CJob Description:
Our client is seeking a visionary
Vice President of Data Architecture
to lead and shape the data strategy and architecture across the organization. This senior leadership role will oversee the design, implementation, and optimization of large-scale data platforms and systems, ensuring they meet the needs of both technical and business stakeholders. The VP of Data Architecture will drive best practices in data management, integration, and analytics, leading the data architecture team to deliver scalable and high-performance solutions.The ideal candidate must have a proven track record in big data architecture, working in a cloud environment, particularly AWS. The role requires a deep understanding of data governance, data modeling, and advanced analytics, combined with strong leadership skills to guide the organization’s data strategy.Required:
Bachelor’s or Master’s degree
in Computer Science, Information Systems, Data Science, or related technical field.10+ years of experience
in data architecture and data engineering roles, with a focus on large-scale data platforms.Expertise in
data modeling , including conceptual, logical, and physical data models.Extensive experience in
cloud-based data architectures , especially using AWS services (S3, EC2, EMR, Redshift, RDS).Strong knowledge of
data governance
frameworks, data quality, and master data management (MDM) principles.Hands-on experience in
big data technologies
such as Spark, Hadoop, and Kafka.Proven ability to lead
cross-functional teams
and partner with senior leadership to align data architecture with business goals.Expertise in SQL
and
Python , including data querying, transformation, and optimization.Experience with
ETL processes
and data integration from diverse sources (structured and unstructured).Excellent
communication skills
to convey complex technical concepts to both technical and non-technical stakeholders.Nice to Have:
Experience with data architecture frameworks
such as TOGAF or Zachman.Familiarity with
DevOps practices
in the context of data pipelines and continuous integration/continuous delivery (CI/CD).Experience with
machine learning frameworks
and building data platforms to support AI/ML use cases.Prior experience in
financial services
or healthcare industries is a plus.Knowledge of
data security
best practices, including encryption and secure data access.Responsibilities:Lead the overall
data architecture strategy , ensuring that data platforms are scalable, reliable, and support business objectives.Design and optimize
data pipelines
for both real-time and batch processing, ensuring efficient data flows.Drive
data governance
initiatives, ensuring data quality, security, and compliance with industry regulations.Collaborate with
data engineering, analytics, and business teams
to align data architecture with project requirements and long-term business strategies.Oversee the design and implementation of
data lakes, data warehouses, and data marts
that meet the needs of various business units.Evaluate and implement new
data technologies
and tools to continuously improve data capabilities.Manage and mentor a team of data architects and engineers, providing leadership and direction to ensure high performance.Thanks for applying!
Vice President of Data ArchitectureLocation:
Fully remote in the continental US. Work outside of the US is not permittedTerm:
Long Term
Contract to HireAvailable for W2 or 1099, No C2CJob Description:
Our client is seeking a visionary
Vice President of Data Architecture
to lead and shape the data strategy and architecture across the organization. This senior leadership role will oversee the design, implementation, and optimization of large-scale data platforms and systems, ensuring they meet the needs of both technical and business stakeholders. The VP of Data Architecture will drive best practices in data management, integration, and analytics, leading the data architecture team to deliver scalable and high-performance solutions.The ideal candidate must have a proven track record in big data architecture, working in a cloud environment, particularly AWS. The role requires a deep understanding of data governance, data modeling, and advanced analytics, combined with strong leadership skills to guide the organization’s data strategy.Required:
Bachelor’s or Master’s degree
in Computer Science, Information Systems, Data Science, or related technical field.10+ years of experience
in data architecture and data engineering roles, with a focus on large-scale data platforms.Expertise in
data modeling , including conceptual, logical, and physical data models.Extensive experience in
cloud-based data architectures , especially using AWS services (S3, EC2, EMR, Redshift, RDS).Strong knowledge of
data governance
frameworks, data quality, and master data management (MDM) principles.Hands-on experience in
big data technologies
such as Spark, Hadoop, and Kafka.Proven ability to lead
cross-functional teams
and partner with senior leadership to align data architecture with business goals.Expertise in SQL
and
Python , including data querying, transformation, and optimization.Experience with
ETL processes
and data integration from diverse sources (structured and unstructured).Excellent
communication skills
to convey complex technical concepts to both technical and non-technical stakeholders.Nice to Have:
Experience with data architecture frameworks
such as TOGAF or Zachman.Familiarity with
DevOps practices
in the context of data pipelines and continuous integration/continuous delivery (CI/CD).Experience with
machine learning frameworks
and building data platforms to support AI/ML use cases.Prior experience in
financial services
or healthcare industries is a plus.Knowledge of
data security
best practices, including encryption and secure data access.Responsibilities:Lead the overall
data architecture strategy , ensuring that data platforms are scalable, reliable, and support business objectives.Design and optimize
data pipelines
for both real-time and batch processing, ensuring efficient data flows.Drive
data governance
initiatives, ensuring data quality, security, and compliance with industry regulations.Collaborate with
data engineering, analytics, and business teams
to align data architecture with project requirements and long-term business strategies.Oversee the design and implementation of
data lakes, data warehouses, and data marts
that meet the needs of various business units.Evaluate and implement new
data technologies
and tools to continuously improve data capabilities.Manage and mentor a team of data architects and engineers, providing leadership and direction to ensure high performance.Thanks for applying!