Sr Engineering Manager - Data Marketplace

Job Description

Designing Solutions

• Review technical solution design and data architecture and provide guidance and direction
• Take part in system design and architecture conversations with the team to land approaches to deliver data solution
• Review technical solution and supports the execution of the solution

Developing Data Solutions

• Help develop sustainable data solutions with current and leading gen data technologies to transform business
• Actively engage in technology strategy and data architecture across enterprise
• Break down complex data issues and resolve them
• Build robust systems with an eye on automation and the long-term maintenance and support of the application

Learning and applying new techniques

• Promotes and empowers sharing ideas, best practices, etc. They need to make space so teams can take time for these activities.
• Anticipates and analyzes trends in Data and assesses the impact of emerging technologies on the business

Collaborating within team

• Supports the team agile practices and learning events / trainings
• Helps break down barriers for the team
• Engages in sprint demos; Understands the desired and actual outcomes as well as the technology delivered by the team
• Partner with Product Manager on Initiatives/ Features/ Epics and provides clarity on desired outcomes as well as technical expertise
• Collaborates with Product manager for strategies, operating plans, targets and measures for product groups
• Creating a positive team environment where individuals have psychological safety and work collaboratively while understanding, respecting, challenging and appreciating each other s ideas

Collaborating across teams

• Supports and empowers teams to broker solutions across products
• Understands how the product integrates with other products and ensures consistency in approach to work towards a common goal / outcome.
• Builds strong working relationships with peers across teams
• Proactively identifies cross team challenges and works to empower teams in solve collaboratively

Collaborating across the organization

• Align your team with the priorities of the company and the technology organization for a given product area

Setting product/platform technology strategy

• Participates in setting the product and platform technology vision, strategies, initiatives, roadmaps , objectives and alignments
• Represents the business value of technology upgrades, etc. and influences prioritization in the product roadmap
• Empowers the team to select the right tool and platforms for the given product area.

Defining Engineering standards/patterns

• Collaborating with Engineers to ensure Engineering practices and be an advocate to bring the engineering disciplines.
• Promoting engineering practices and continuous improvement such as develops and observability
• Contributes to the creation of enterprise frameworks and patterns

DevOps

• Define and supports the development Lifecyle processes
• Supports the team and removes barriers to resolving production incidents/problems
• DevOps continuously evaluated through observability, monitoring and alerting
• Understands the health of technology products and promotes prioritization of work to maintain and continuously improve
• Serve as an escalation point in product level support for ongoing maintenance and production issues

Selecting & Managing Technology Vendors

• Be an advocate to the team to define criteria s for selecting the right platform/technology
• Guides the team to build consensus on an approach and driving a build vs buy decision with the team. In a buy decision, works with the team to decide on criteria and vendor selection.
• Execute or manage the overall technology solutions, platforms for the product groups and associated vendor relationships.

Coaching Engineers

• Holding regular 1:1s with team members and team meeting,
• Provides constructive feedback, guidance and coaching to help engineers grow their skills and experience.
• Provides career planning advice to engineers and creates development plans to help them achieve their career goals which leverages their skills and capabilities and provides them with learning opportunities.

Recruiting/building talent

• Leads the process of selecting and engaging the right consulting partners
• Planning in advance for future people needs for the product groups, collaborate with the other teams on the recruitment process
• Recruits, develops, and sustains a high-performing team while promoting a culture of shared accountability, operational excellence, and partnership across the organization.
• Models Thrivent s leadership competencies courage, collaboration, and commitment by demonstrating resiliency, working together to make the best decisions, and holding yourself and others accountable.
• Supports and/or develops an environment in which Thrivent employees and colleagues are focused on continuous improvement, exceptional employee engagement, and an unwavering commitment to our clients. Shapes and/or supports a culture that represents the Thrivent purpose, promise and values, ensuring that Thrivent s trust and reputation remain strong with its clients.
• Manage a team of direct and indirect staff

QUALIFICATIONS & SKILLS:

Required:

• Bachelor's degree in Computer Science or other technical field or equivalent work experience
• 8+ years of progressively responsible positions in Information Technology including 5+ years experience in Data Engineering
• 3+ years of leadership experience in all aspects of Data Engineering
• 3+ years management/supervisory experience in Data Engineering with accountability for enforcing talent management needs and performance standards.
• Demonstrated leadership and experience managing multidiscipline, high-performance work teams.
• Strong competency in project management and execution of multiple or large projects.
• Experience working with customers to develop solutions to complex business problems.
• Proven ability to communicate effectively with internal/external stakeholders to support business initiatives.
• Proven ability to function in an environment which requires flexibility, good judgment and intelligent decision making, often based on limited information and/or extreme conditions.
• Ability to formulate, implement and evaluate plans, programs and procedures applicable to customer relationship and demand management.

Preferred:

• MBA
• At least 4 years of Data Engineering experience with Big Data Technologies: Databricks, Snowflake, Apache Spark, Hadoop, or Kafka
• At least 3 years of microservices development experience: Python, Java or Scala
• At least 2 years of experience building data pipelines, CICD pipelines, and fit for purpose data stores
• At least 1 year of experience in Cloud technologies: AWS, Azure, Google Cloud, OpenStack, Docker, Ansible, Chef or Terraform
• Financial Services industry experience
• Experience in IT planning and business relationship management
• Experience working in a matrix management organization
• Experience with product development and management

Regards,