2943 Cloud Data Architect jobs in Boston,MA

Competitive financial compensation

$121,300.00 - $176,000.00

Solid benefits package

Medical, Dental, Vision Insurance

401k, With Matching Contributions

Short-Term/Long-Term Disability Insurance

Health Savings Account (HSA)/Health Reimbursement Account (HRA) Options

Paid Time Off (including sick, holiday, vacation, etc.)

Tuition Reimbursement

Growth Opportunities

Full time

Requires a minimum of 10 years of related experience with a 4 year degree; or 8 years and an advanced degree; or equivalent experience.

Expert with Oracle Database, SQL, and application/database integration.

Strong experience designing enterprise applications and distributed systems.

Experience creating architecture documentation and presenting technical solutions to stakeholders.

Experience with Java/J2EE.

Experience with Spring Framework and Spring Boot.

Experience with REST APIs, microservices, and enterprise integration patterns.

Experience with application performance, scalability, security, and resiliency.

The base compensation for this role is $150,000 in USD.

Eligible for an annual discretionary performance bonus

BCG's Profit Sharing and Retirement Fund (PSRF) contribution.

Zero dollar ($0) health insurance premiums for BCG employees, spouses, and children.

$10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs.

Dental coverage, including up to $5,000 (USD) in orthodontia benefits.

Vision insurance with coverage for both glasses and contact lenses annually.

Reimbursement for gym memberships and other fitness activities.

Fully vested retirement contributions made annually, whether you contribute or not.

Generous paid time off including vacation, holidays, and annual office closure between Christmas and New Years.

Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement.

Bachelor's degree in information technology, computer science, engineering, or a related field

4+ years of experience in software engineering, data engineering, or AI development.

Solid foundation in software development and distributed systems concepts.

Hands-on experience building or integrating AI/ML or LLM-based components.

Hands-on experience using AI-assisted coding tools (e.g., Cursor, Claude Code, Replit, Lovable) to support development, debugging, and rapid iteration of AI platform components.

Familiarity with modern AI frameworks and libraries (e.g., LangChain, LlamaIndex, Semantic Kernel, or similar).

Working understanding of agentic AI concepts such as RAG, prompt orchestration, vector databases, and basic multi-agent patterns.

Basic understanding of cloud platforms and AI services, with experience in at least one hyperscaler environment.

Exposure to deploying AI workloads on cloud platforms.

Experience integrating AI components with APIs and data sources.

Familiarity with containerization concepts (Docker; Kubernetes exposure is a plus).

Gen AI fluency (e.g., proven usage of GenAI such as ChatGPT, Claude) and validation of response.

Willingness to travel to work with clients and BCG teams as needed.

Master's degree is a plus

Proficiency in one or more programming language such as Python or JavaScript is nice to have.

Kubernetes exposure is a plus

$67,133.00 - $100,699.00

24 hours

Biomedical researcher with specialized training in quantitative methodology and a research focus on the biology of aging

Requires familiarity with statistical analysis, software development, visualization, algorithm development, supervised and unsupervised learning, and predictive analytics.

Advanced skills in data management, manipulation, and summarization are critical, particularly for harmonizing DNA methylation and other omics datasets across multiple cohorts into standardized, reproducible analytic platforms.

Requires a doctoral degree in a quantitative biomedical science field such as bioinformatics, biostatistics, quantitative epidemiology, computational neuroscience, statistical genetics, econometrics, systems biology, or data science, with at least 2 years of experience as a professional quantitative scientist (postdoctoral research training in a related quantitative field will satisfy this requirement). Experience equivalent to academic training may be substituted in relevant cases.

Knowledge of statistical and quantitative modeling (regression / GLM / GAM, simulation, cluster analysis, neural networks, decision trees, bagging, boosting, dynamical systems modeling, etc.); demonstrated proficiency in R and/or Python for large-scale DNA methylation and other omics data processing.

Specialized training and experience in more than one quantitative programming language (R/Python/Matlab) is essential.

Ability to manage, manipulate and clean complex multi-omic data structures, including DNA methylation and other aging biomarker datasets drawn from multiple independent cohorts.

Ability to conduct statistical, machine learning and predictive analyses including benchmarking and validation of aging biomarkers such as epigenetic clocks.

Ability to formulate research questions and testable hypotheses in aging biology, and to design analyses that address them.

Ability to develop exploratory analyses and analytic summaries in visual and written form.

Ability to speak and present in English to communicate scientific results.

A sustained record of peer-reviewed publication, including first-author work

Strong oral and written English language skills

Skills in natural language processing and emerging AI-assisted data harmonization tools are a plus.

Existing, or ability to develop, comfort with rigorous version control and the principles of reproducible research are required.

Experience developing and maintaining harmonized, multi-dataset analytic platforms, and benchmarking or validating aging biomarkers across cohorts, is highly valued.

Experience contributing to team leadership in quantitative analysis or machine learning is helpful.

Experience with database technologies (SQL, REDCap) is helpful.

Familiarity with emerging AI-agent-based and foundation-model approaches to biomedical data harmonization is a plus.

Experience with web services and distributed computing tools is preferred.

Experience using high performance computing systems running Linux or UNIX OS and experience with cloud-computing platforms such as Amazon Web Services (AWS) or Google Cloud are a plus.

Hands-on experience in aging and geroscience research, including epigenetic clocks or multi-omic aging biomarkers, are strongly preferred.

$121,000 - $198,000 a year

An incentive plan

Medical, dental and vision insurance

Life and disability insurance

Well-being programs

A 401(k) and pension plan

Career development opportunities

Tuition reimbursement

Flexible work

Time off, including vacation and sick time

Full-time, exempt (salaried)

An in-office schedule of 2 days per week and flexibility to work remotely 3 days per week, dependent on business needs.

Minimum of 7 years of experience in Solution Architecture or related technical leadership roles, with experience delivering data, analytics, AI, and cloud-based solutions;

Experience designing and delivering scalable applications, data and analytics platforms, cloud-native solutions, and integration architectures in an enterprise environment.

Experience partnering with data science teams to design, deploy, and operationalize machine learning and AI solutions in production environments.

Strong understanding of modern software development practices, cloud and data platforms, CI/CD, security, and operational support.

Bachelor's degree in computer science, Information Technology, Data Analytics, Data Science, Engineering, or a related field; equivalent experience considered.

10+ years preferred.

Experience with Python, machine learning concepts, and operationalizing analytical models preferred.

Master's degree in information technology, analytics, data science, or related discipline preferred.