Lead Data Architect

Referrals Only•Chicago, IL

1d•Remote

About The Position

Lead data architects at Thoughtworks play a key part in developing modern data architecture approaches to meet business objectives and provide end-to-end data solutions. They take a technical leadership role in enabling clients and Thoughtworks teams to align on outcomes that support the vision painted by data strategists. They lead, with support, the design and architecture of initiatives which are key to the delivery of solutions to budget and timelines. They also guide and mentor delivery teams on architectural decisions to deliver to the solution agreements. Job responsibilities You will navigate, with support, a data project's architectural concerns, enabling delivery teams to deliver on accepted standards within time and budget. You will provide client-facing technical leadership and guidance on topics related to data architecture, engineering, and analytics to advise clients on bringing their data strategy to life. You will interact with client counterparts from the enterprise architecture group to deliver, share, align and sign-off on key architectural decisions, trade-offs and ways of working. You will communicate both high-level and low-level technical details of data architecture to engineers and business stakeholders. You understand and can collaborate at the intersection of analytical and operational architectures. You will lead with support the technical design of data governance, data security and data privacy to fulfill compliance requirements. You will lead, with support, the incorporating of data quality frameworks and processes to address and fulfill requirements as set out in strategy and acceptance criteria. You will collaborate with sales and pre-sales to clarify requirements and design viable solutions. Designs the holistic data architecture, governance frameworks, and compliance protocols (PII, Audit Trail). Data Modeling, AWS Data Services (e.g., S3/Redshift/EMR), Data Governance, Security/PII Compliance.

Requirements

AWS Redshift, Kafka, Data infrastructure and operations, Data pipeline.
Experience in defining and implementing different types of data architecture, analyzing trade-offs and can define technology stacks for different types of data architecture.
Exposure to designing application system architecture based on big data, artificial intelligence and related technologies.
Experience in building, maintaining and tuning data platforms, as well as experience in data warehouse design, data modeling, data monitoring and maintenance.
Experience with common design patterns, application frameworks and foundational/theoretical knowledge (i.e.: distributed systems, data intensive applications, etc.).
Proficient in common open-source distributed computing/storage technologies, including but not limited to YARN, Impala, Spark, MapReduce, Kafka and Flink, with practical project architecture experience.
Good understanding of business and communication, collaboration skills, strong learning and summarizing abilities.
Exposure to defining, developing and enabling data-driven techniques, advanced analytics, ML/AI and data mining applications in enterprise.
Exposure to developing real-time and low-latency data streaming solutions.
Exposure to productionizing machine learning models and applying techniques, tools and processes, and you are passionate about data infrastructure and operations, with expertise working in cloud environments.
Experience influencing others and always advocate for technical excellence while being open to change when needed.
Bridge product and technology by helping to translate business needs to software requirements.
Ability to develop and execute a technical vision with a focus on business value.
Act as a mentor for less experienced peers through both your technical knowledge and ability to inspire a team to deliver extraordinary impact together.
Resilient in ambiguous situations and can approach challenges from multiple perspectives.

Responsibilities

Navigate, with support, a data project's architectural concerns, enabling delivery teams to deliver on accepted standards within time and budget.
Provide client-facing technical leadership and guidance on topics related to data architecture, engineering, and analytics to advise clients on bringing their data strategy to life.
Interact with client counterparts from the enterprise architecture group to deliver, share, align and sign-off on key architectural decisions, trade-offs and ways of working.
Communicate both high-level and low-level technical details of data architecture to engineers and business stakeholders.
Understand and can collaborate at the intersection of analytical and operational architectures.
Lead with support the technical design of data governance, data security and data privacy to fulfill compliance requirements.
Lead, with support, the incorporating of data quality frameworks and processes to address and fulfill requirements as set out in strategy and acceptance criteria.
Collaborate with sales and pre-sales to clarify requirements and design viable solutions.
Designs the holistic data architecture, governance frameworks, and compliance protocols (PII, Audit Trail).
Data Modeling, AWS Data Services (e.g., S3/Redshift/EMR), Data Governance, Security/PII Compliance.