Who you’ll report to
This role reports to our VP, Business Applications
Location
Hybrid role with regular onsite workdays in our San Jose, CA office required. Other U.S locations may be considered.
You will make an impact by being responsible for
People leadership: Lead and develop a team of data engineering, analytics, and architecture professionals. Hire and onboard talent, set clear goals and ownership, delegate effectively, provide regular coaching and feedback, and build team capability through development planning and succession readiness
Solution architecture: Own the target-state EDW, data lake, and analytics architecture and guide its evolution through design reviews and clear decision-making. Direct and review logical and physical data models, integration patterns, security controls, metadata, lineage, and nonfunctional requirements, ensuring designs meet business priorities and enterprise standards
Roadmap and resource planning: Own the enterprise data and analytics delivery roadmap and backlog, prioritize initiatives with business stakeholders, and align commitments with team capacity and dependencies. Develop resource and investment recommendations, manage delivery within approved allocations, and review platform consumption, licensing, and operating costs with the relevant owners
Data ingestion and integration: Lead the team’s design and delivery of batch and near-real-time Informatica pipelines that ingest data from enterprise applications, databases, APIs, files, and third-party platforms. Establish reusable integration patterns, review critical designs, and ensure delivery meets agreed reliability and data-freshness requirements
BigQuery engineering: Direct the team’s development and optimization of curated data layers, dimensional models, data marts, and lakehouse-style datasets in Google BigQuery. Set and review engineering standards for partitioning and clustering, and make informed trade-offs across performance, scalability, and cost
Data transformation: Establish reusable transformation standards and oversee the team’s implementation of data standardization, reconciliation, and orchestration across raw, trusted, and consumption layers. Review high-risk changes and ensure transformation logic is tested, documented, and maintainable
Analytics and visualization: Partner with business leaders to agree KPI definitions, prioritize analytical needs, and direct the delivery of governed Tableau dashboards, reports, and self-service analytics experiences. Align business and technical owners on acceptance criteria and review adoption, usability, and contribution to business decision-making
Business analysis: Elicit and document requirements, profile source data, perform exploratory analysis, identify trends and anomalies, and translate findings into actionable recommendations
Data quality and governance: Establish data quality rules, monitoring, exception handling, lineage, reference data, business definitions, stewardship processes, and auditability
Security and compliance: Apply role-based access, least-privilege principles, sensitive-data protections, retention requirements, and applicable privacy and regulatory controls
AI solutions: Lead the prioritization, design, and delivery of AI-enabled solutions that securely use governed EDW and data lake assets. Guide technical teams in implementing Role-Based Access Control (RBAC) and Row-Level Access (RLA) so users, applications, and AI services access only authorized data, and oversee solution evaluation, production readiness, and ongoing monitoring
Business-facing IT leadership: Act as the primary IT partner and trusted advisor for business stakeholders, maintaining frequent interaction to understand needs and present solution options. Establish a regular governance cadence to align priorities, facilitate decisions, manage expectations, and communicate delivery status, risks, and trade-offs to business and IT leaders. Resolve prioritization conflicts and coordinate dependencies and escalations across technical teams
Operational excellence: Own service health for data pipelines and dashboards, agree service expectations with stakeholders, and ensure the team monitors performance and troubleshoots production issues. Lead incident escalation and root-cause reviews, and prioritize corrective actions that improve reliability through automation, testing, and observability
Technical leadership: Lead design reviews, create architecture standards and technical documentation, mentor team members, and collaborate with application, cloud, security, and business team
You will be a great fit if you have
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Analytics, or a related field, or equivalent practical experience
10+ years of experience across data engineering, business intelligence, data analysis, data warehousing, or solution architecture, with demonstrated experience managing technical teams and delivering cross-functional data and analytics initiatives. Experience must include hiring, coaching, delegation, team development, and accountability for delivery outcomes
Demonstrated experience owning data and analytics roadmaps, prioritizing competing business demands, planning team capacity, managing cross-team dependencies, and developing resource and investment recommendations. Ability to explain delivery, risk, and cost trade-offs to business and IT leadership
Hands-on experience with Informatica products and enterprise ETL/ELT design, development, deployment, and support
Strong experience with Google BigQuery, SQL, cloud data warehousing, data lake concepts, data modeling, and query optimization
Demonstrated experience developing Tableau dashboards, semantic layers, calculated fields, data sources, row-level security, and performance-optimized visualizations
Experience building AI-enabled solutions on enterprise data warehouse or data lake platforms, including secure access to governed data for AI models, agents, or applications
Hands-on experience designing and implementing Role-Based Access Control (RBAC) and Row-Level Access (RLA) security controls across BigQuery, Tableau, and enterprise data products
Strong knowledge of dimensional modeling, star and snowflake schemas, slowly changing dimensions, master and reference data, and data lifecycle management
Experience integrating structured and semi-structured data from SaaS applications, relational databases, APIs, and files
Proficiency in SQL and at least one scripting or programming language such as Python
Experience with data quality frameworks, metadata management, data lineage, testing, CI/CD, and production support
You excel in these key competencies
Strong communication and influencing skills, with the ability to explain technical concepts to business audiences, convert business requirements into scalable solutions, and present recommendations to senior business and IT leaders. Ability to facilitate decisions, communicate delivery commitments and risks, and build alignment across teams with competing priorities
Proven ability to serve as the face of IT for business teams, build trusted stakeholder relationships, lead recurring working sessions, and communicate solution strategy, trade-offs, risks, and delivery status clearly
The base salary range for this position is $200,000 – $230,000 a year. The base salary ultimately offered is determined through a review of education, industry experience, training, knowledge, skills, abilities of the applicant in alignment with market data and other factors. This position is also eligible for a discretionary bonus, equity and a full range of medical and other benefits.
Ready to Revolutionize Work? Join Us.
This is an opportunity to work with a global, passionate team pioneering technology that’s redefining the way people work, everywhere. Join us and discover the many ways that you can have an impact, achieve your potential, and go be great.
Job Segment OR Key Words: data engineering, business intelligence, data analysis, data warehousing, solution architecture, leadership
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Benefits and perks you’ll appreciate
Flexible work schedule / remote roles
Unlimited Personal Time Off
12 holidays off per year
4 days volunteer time off per year
Variety of health care and well-being benefits
Paid family/parental leave
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Automation Anywhere is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email recruiting@automationanywhere.com.
At this time, we typically do not offer visa sponsorship for this position. Candidates should generally be authorized to work in the United States without the need for current or future sponsorship.
All unsolicited resumes submitted to any @automationanywhere.com email address, whether submitted by an individual or by an agency, will not be eligible for an agency fee.
